인증된 AgentReady.md 증명서
발급일 sig: 837cca4bfa18c91e 검증 →

분석된 URL

https://iamsunildev.in

측정: 2주 전

다른 URL 분석

AI-Ready 점수

보통

/ 100

토큰 절감량

HTML 토큰 14.712
Markdown 토큰 1082
절감 93%

점수 상세

접근성 100/100
AI 발견 가능성 45/100
구조화 데이터 30/100
시맨틱 HTML 88/100
콘텐츠 효율성 85/100

신흥 프로토콜

6개 중 0개 감지

AI 에이전트가 찾는 well-known 엔드포인트. 감지되면 에이전트가 서비스를 자동으로 발견하고 연결할 수 있습니다.

  • OAuth Protected Resource RFC 9728
    /.well-known/oauth-protected-resource
  • OAuth Discovery RFC 8414
    /.well-known/oauth-authorization-server
  • MCP Server Card SEP-1649 draft
    /.well-known/mcp/server-card.json
  • A2A Agent Card A2A v1.0
    /.well-known/agent-card.json
  • API Catalog RFC 9727
    /.well-known/api-catalog
  • Agent Skills index Discovery RFC v0.2.0 draft
    /.well-known/agent-skills/index.json

이 점수는 그대로 있지 않습니다. 모니터링은 아직 없습니다. 명단에 등록하면 출시할 때 알려드립니다.

명단에 등록되었습니다! 서비스 출시 시 알려드리겠습니다.

측정 결과 No JSON-LD / Schema.org found

Schema.org 구조화 데이터를 찾을 수 없습니다. JSON-LD는 AI 에이전트가 페이지에서 사실 기반의 구조화 정보를 추출하는 데 도움을 줍니다.

구현 방법

Schema.org 마크업이 포함된 <script type="application/ld+json"> 블록을 추가하세요. 적절한 유형을 사용하세요: 블로그 게시물에는 Article, 제품 페이지에는 Product, 회사 페이지에는 Organization.

코딩 에이전트에 붙여넣어 수정하게 하세요

측정 결과 No Markdown for Agents support detected

사이트가 Markdown for Agents를 지원하지 않습니다. 이 Cloudflare 표준을 통해 AI 에이전트가 마크다운 형식으로 콘텐츠를 요청할 수 있으며, 토큰 사용량을 ~80% 줄일 수 있습니다.

구현 방법

다음 중 하나 이상을 구현하세요: (1) Accept: text/markdown에 마크다운 콘텐츠로 응답. (2) .md URL 제공 (예: /page.md). (3) <link rel="alternate" type="text/markdown"> 태그 추가. (4) 마크다운 발견을 위한 Link HTTP 헤더 추가.

코딩 에이전트에 붙여넣어 수정하게 하세요

측정 결과 0/3 OG tags present

Open Graph 태그가 없거나 불완전합니다. OG 태그는 AI 에이전트(및 소셜 플랫폼)가 페이지의 제목, 설명, 이미지를 이해하는 데 도움을 줍니다.

구현 방법

페이지의 <head>에 og:title, og:description, og:image 메타 태그를 추가하세요.

코딩 에이전트에 붙여넣어 수정하게 하세요

측정 결과 No sitemap found

사이트맵을 찾을 수 없습니다. 사이트맵은 AI 에이전트가 사이트의 모든 페이지를 발견하는 데 도움을 줍니다.

구현 방법

모든 공개 페이지를 나열하는 /sitemap.xml을 만드세요. 대부분의 CMS 플랫폼에서 자동 생성할 수 있습니다.

코딩 에이전트에 붙여넣어 수정하게 하세요

측정 결과 No canonical URL

정규 URL을 찾을 수 없습니다. AI 에이전트가 페이지의 선호 버전을 식별하고 중복 콘텐츠를 방지하는 데 도움을 줍니다.

구현 방법

페이지의 정규 URL을 가리키는 <link rel="canonical" href="..."> 태그를 추가하세요.

코딩 에이전트에 붙여넣어 수정하게 하세요

측정 결과 No llms.txt found

사이트에 llms.txt 파일이 없습니다. AI 에이전트가 사이트 구조를 이해하도록 돕는 새로운 표준입니다.

구현 방법

llmstxt.org 사양에 따라 /llms.txt 파일을 만드세요. 사이트 설명과 주요 페이지 링크를 포함하세요.

코딩 에이전트에 붙여넣어 수정하게 하세요

측정 결과 No Content-Signal found (robots.txt or HTTP headers)

Content-Signal 지시어가 발견되지 않았습니다. 이는 AI 에이전트에게 콘텐츠 사용 방법(검색 색인, AI 입력, 훈련 데이터)을 알려줍니다. 권장 위치는 robots.txt입니다.

구현 방법

robots.txt에 Content-Signal을 추가하세요: User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no. 마크다운 응답의 HTTP 헤더로도 추가할 수 있습니다.

코딩 에이전트에 붙여넣어 수정하게 하세요

측정 결과 10 semantic elements, 70 divs (ratio: 13%)

페이지가 <div> 요소에 크게 의존합니다. <section>, <nav>, <header>, <footer>, <aside> 같은 시맨틱 요소는 AI 에이전트에게 의미 있는 구조를 제공합니다.

구현 방법

범용 <div> 컨테이너를 적절한 시맨틱 요소로 교체하세요. 주제별 그룹에는 <section>, 내비게이션에는 <nav>, 페이지/섹션 헤더와 푸터에는 <header>/<footer>를 사용하세요.

코딩 에이전트에 붙여넣어 수정하게 하세요
Markdown 토큰: 1082
👨‍💻 Hello, I'm

Senior Software Engineer

Senior Software Engineer with 4+ years of experience building scalable cloud-native applications, distributed systems, and enterprise SaaS products across AWS and GCP. I focus on reliable platform engineering, cost optimization, and delivering high-impact features end-to-end.

[Contact Me](https://iamsunildev.in/#contact)[](https://github.com/iamsunildev "GitHub")[](https://linkedin.com/in/iamsunildev "LinkedIn")[](https://leetcode.com/iamsunildev "LeetCode")

Full-Stack Engineer

4+

Years of Experience

30%

Cloud Cost Savings

50%

Faster CI/CD Builds

1000+

LeetCode Problems

Toolbox

## Skills

### Languages

TypeScriptJavaScriptPythonSQL

### Frameworks

ReactTanstack StartAngularExpress.jsNestJSReduxZustand

### Platforms

AWSGoogle CloudCloudflareVercel

### Databases / ORMs

PostgreSQLMySQLRedisFirebaseElasticsearchPrismaSequelize

### Tools

DockerKubernetesS3EC2LambdaSQSECSCloud RunCloud FunctionsPub/SubSentryCloudWatchGitHub ActionsCloud Buildpnpm

### CS Fundamentals

LinuxData StructuresAlgorithms1000+ LeetCode Problems

Where I've Worked

## Experience

Mar 2025 - Present

-   Led frontend modernization of a production React/TypeScript monolith — migrated from CRA to Vite and integrated React Compiler, improving build times, page load, and long-term maintainability.
-   Implemented LTI 1.3 integrations to onboard 5+ enterprise LMS partners, reducing per-client integration time from days to minutes and unblocking a key revenue channel.
-   Designed a bulk user onboarding pipeline using AWS SQS, S3 event notifications, and Lambda with chunked processing and retries — replacing a synchronous flow that timed out beyond a few hundred users; now reliably handles 30K+ users in a single run.
-   Architected a License Management System replacing legacy direct course enrollment with a license-seat model supporting rotation, lifecycle states, and grace periods, giving enterprise clients real-time visibility into purchased vs used capacity.
-   Mentored 2 interns on codebase architecture, code review practices, and production workflows; both converted to full-time engineers based on delivery and performance.
-   Optimized CI/CD pipelines by migrating from npm to pnpm, restructuring Dockerfiles for better layer caching, and parallelizing build steps — cutting build times by ~50% and pipeline cost by ~30%.

Jun 2022 - Mar 2025

-   Led the end-to-end development of the PAT Workflow application from initial scoping through production rollout, owning architecture, API design, and frontend delivery.
-   Migrated workloads from VM instance groups to Kubernetes (GKE), introducing horizontal pod autoscaling and resource limits that reduced infrastructure spend by ~30% while improving traffic-spike resilience.
-   Built a CI/CD pipeline on Google Cloud Build and GitHub Actions with automated tests, image builds, and staged deploys — taking deployments from a manual multi-step process to a single merge-to-deploy flow.
-   Upgraded Node.js and packages, migrated codebase to TypeScript, and introduced comprehensive unit tests, achieving 99% endpoint reliability and reduced technical debt.
-   Led a project to optimize unused AWS resources by categorizing each based on purpose and implementing S3 bucket expiration policies, resulting in substantial annual cost reductions.
-   Optimized SQL queries, reducing execution time by over ~80%, significantly improving database performance and overall system efficiency.
-   Owned frontend feature delivery for the platform, improving responsiveness across devices and shipping UX changes that improved page load and user engagement.

Things I've Built

## Projects

### Cloud Transcoder

A cloud-native transcoder built with AWS Lambda and S3 to convert videos to different formats and resolutions.

PythonDockerS3EC2CloudWatchCloudFront

[Code](https://github.com/iamsunildev/cloud-transcoder)

### Audio House

A audio chat application made with React, Typescript, Stream.io

ReactTypeScriptStream.ioNode.jsExpress.js

[Code](https://github.com/iamsunildev/audio-house)

### Ping Point

A real time chat application, with individual/group chats, profiles, sharing media files and more.

ReactTypeScriptNode.jsPostgreSQLSocket.io

[Code](https://github.com/iamsunildev/ping-point)

Bragging Rights

## Achievements

Solved 1,000+ LeetCode problems and earned 25+ badges across DSA topics including DP and Graphs.

Graduated with distinction — ranked 1st in BSc Computer Technology (2022).

Recognized twice for delivering the LTI 1.3 enterprise integration and resolving high-priority production issues under tight deadlines.

Awarded Neo Champion, Shining Star, and Rookie Neo for overall performance, team contribution, and rapid early-career growth.

Where I Studied

## Education

Jun 2023 - May 2025

[### SRM University](https://www.srmist.edu.in/ "Visit SRM University")

MCA (Computer Application)

Tamil Nadu, India
Sunil J — Senior Software Engineer

[![](https://iamsunildev.in/favicon.svg)Sunil J.](https://iamsunildev.in/#about)[Resume](https://iamsunildev.in/resume.pdf)

👨‍💻 Hello, I'm

# Sunil J

Senior Software Engineer

Senior Software Engineer with 4+ years of experience building scalable cloud-native applications, distributed systems, and enterprise SaaS products across AWS and GCP. I focus on reliable platform engineering, cost optimization, and delivering high-impact features end-to-end.

[Contact Me](https://iamsunildev.in/#contact)[](https://github.com/iamsunildev "GitHub")[](https://linkedin.com/in/iamsunildev "LinkedIn")[](https://leetcode.com/iamsunildev "LeetCode")

👨‍💻Sunil JSenior Software Engineer

![](https://iamsunildev.in/me.jpeg)

Full-Stack Engineer

4+

Years of Experience

30%

Cloud Cost Savings

50%

Faster CI/CD Builds

1000+

LeetCode Problems

Toolbox## Skills

### Languages

TypeScriptJavaScriptPythonSQL

### Frameworks

ReactTanstack StartAngularExpress.jsNestJSReduxZustand

### Platforms

AWSGoogle CloudCloudflareVercel

### Databases / ORMs

PostgreSQLMySQLRedisFirebaseElasticsearchPrismaSequelize

### Tools

DockerKubernetesS3EC2LambdaSQSECSCloud RunCloud FunctionsPub/SubSentryCloudWatchGitHub ActionsCloud Buildpnpm

### CS Fundamentals

LinuxData StructuresAlgorithms1000+ LeetCode Problems

Where I've Worked## Experience

[### Whizlabs](https://www.whizlabs.com/ "Visit Whizlabs")

Senior Software Engineer

Mar 2025 - Present

-   Led frontend modernization of a production React/TypeScript monolith — migrated from CRA to Vite and integrated React Compiler, improving build times, page load, and long-term maintainability.
-   Implemented LTI 1.3 integrations to onboard 5+ enterprise LMS partners, reducing per-client integration time from days to minutes and unblocking a key revenue channel.
-   Designed a bulk user onboarding pipeline using AWS SQS, S3 event notifications, and Lambda with chunked processing and retries — replacing a synchronous flow that timed out beyond a few hundred users; now reliably handles 30K+ users in a single run.
-   Architected a License Management System replacing legacy direct course enrollment with a license-seat model supporting rotation, lifecycle states, and grace periods, giving enterprise clients real-time visibility into purchased vs used capacity.
-   Mentored 2 interns on codebase architecture, code review practices, and production workflows; both converted to full-time engineers based on delivery and performance.
-   Optimized CI/CD pipelines by migrating from npm to pnpm, restructuring Dockerfiles for better layer caching, and parallelizing build steps — cutting build times by ~50% and pipeline cost by ~30%.

[### Iamneo.ai](https://iamneo.ai/ "Visit Iamneo.ai")

Software Engineer

Jun 2022 - Mar 2025

-   Led the end-to-end development of the PAT Workflow application from initial scoping through production rollout, owning architecture, API design, and frontend delivery.
-   Migrated workloads from VM instance groups to Kubernetes (GKE), introducing horizontal pod autoscaling and resource limits that reduced infrastructure spend by ~30% while improving traffic-spike resilience.
-   Built a CI/CD pipeline on Google Cloud Build and GitHub Actions with automated tests, image builds, and staged deploys — taking deployments from a manual multi-step process to a single merge-to-deploy flow.
-   Upgraded Node.js and packages, migrated codebase to TypeScript, and introduced comprehensive unit tests, achieving 99% endpoint reliability and reduced technical debt.
-   Led a project to optimize unused AWS resources by categorizing each based on purpose and implementing S3 bucket expiration policies, resulting in substantial annual cost reductions.
-   Optimized SQL queries, reducing execution time by over ~80%, significantly improving database performance and overall system efficiency.
-   Owned frontend feature delivery for the platform, improving responsiveness across devices and shipping UX changes that improved page load and user engagement.

Things I've Built## Projects

### Cloud Transcoder

A cloud-native transcoder built with AWS Lambda and S3 to convert videos to different formats and resolutions.

PythonDockerS3EC2CloudWatchCloudFront

[Code](https://github.com/iamsunildev/cloud-transcoder)

### Audio House

A audio chat application made with React, Typescript, Stream.io

ReactTypeScriptStream.ioNode.jsExpress.js

[Code](https://github.com/iamsunildev/audio-house)

### Ping Point

A real time chat application, with individual/group chats, profiles, sharing media files and more.

ReactTypeScriptNode.jsPostgreSQLSocket.io

[Code](https://github.com/iamsunildev/ping-point)

Bragging Rights## Achievements

### Algorithmic Depth

Solved 1,000+ LeetCode problems and earned 25+ badges across DSA topics including DP and Graphs.

### Ranked 1st in UG

Graduated with distinction — ranked 1st in BSc Computer Technology (2022).

### Whizlabs Recognition

Recognized twice for delivering the LTI 1.3 enterprise integration and resolving high-priority production issues under tight deadlines.

### Iamneo Awards

Awarded Neo Champion, Shining Star, and Rookie Neo for overall performance, team contribution, and rapid early-career growth.

Where I Studied## Education

Jun 2023 - May 2025

[### SRM University](https://www.srmist.edu.in/ "Visit SRM University")

MCA (Computer Application)

Tamil Nadu, India

Jul 2019 - May 2022

[### VLB College of Arts and Science](https://www.vlbjcas.ac.in/ "Visit VLB College of Arts and Science")

BSc (Computer Technology)

Tamil Nadu, India

이 파일을 서버의 /index.md에 업로드하여 AI 에이전트가 페이지의 깔끔한 버전에 접근할 수 있게 하세요. Accept: text/markdown 콘텐츠 협상을 설정하여 자동으로 제공할 수도 있습니다.

이 단일 페이지용으로 생성된 llms.txt

llms.txt 다운로드
# iamsunildev.in

> Senior Software Engineer with 4+ years of experience building event-driven systems and cloud-native architectures on AWS & GCP.

## Main
- [Sunil J — Senior Software Engineer](https://iamsunildev.in): Senior Software Engineer with 4+ years of experience building event-driven systems and cloud-native architectures on AW…
- [Sunil J.](https://iamsunildev.in/)
- [Resume](https://iamsunildev.in/resume.pdf)

전체 llms.txt는 도메인 전체 분석이 필요합니다 (곧 출시)

이 파일을 도메인 루트의 https://iamsunildev.in/llms.txt에 업로드하세요. ChatGPT, Claude, Perplexity 등의 AI 에이전트가 이 파일을 확인하여 사이트 구조를 파악합니다.

접근성

JavaScript 없이 콘텐츠 이용 가능 (100/100)

Content available without JavaScript

HTML에서 콘텐츠가 빠른 위치에 배치 (100/100)

Main content starts at 6% of HTML

적절한 페이지 크기 (100/100)

Page size: 42KB

AI 발견 가능성

robots.txt가 AI 봇 허용 (100/100)

All major AI search bots allowed

Markdown for Agents 지원 (0/100)
✗ Accept: text/markdown ✗ .md URL ✗ <link> tag ✗ Link header
sitemap.xml 있음 (0/100)

No sitemap found

robots.txt 파일 있음 (100/100)

robots.txt exists

llms.txt 파일 있음 (0/100)

No llms.txt found

Content-Signal 있음 (robots.txt 또는 HTTP 헤더) (0/100)
✓ robots.txt ✓ HTTP header ✗ Policy

구조화 데이터

Schema.org / JSON-LD 있음 (0/100)

No JSON-LD / Schema.org found

Open Graph 태그 있음 (0/100)

0/3 OG tags present

메타 설명 있음 (100/100)

Meta description: 127 chars

정규 URL 있음 (0/100)

No canonical URL

lang 속성 있음 (100/100)

lang="en"

시맨틱 HTML

올바른 제목 계층 구조 (100/100)

Clean heading hierarchy

article 또는 main 요소 사용 (100/100)

Has <main>

시맨틱 HTML 요소 사용 (42/100)

10 semantic elements, 70 divs (ratio: 13%)

의미 있는 이미지 alt 속성 (100/100)

No informative images (2 decorative)

낮은 div 중첩 깊이 (100/100)

Avg div depth: 2.0, max: 4

콘텐츠 효율성

양호한 토큰 감소율 (100/100)

93% token reduction (HTML→Markdown)

양호한 콘텐츠 대 잡음 비율 (50/100)

Content ratio: 10.0% (4360 content chars / 43385 HTML bytes)

적절한 페이지 무게 (100/100)

HTML size: 42KB

최소한의 인라인 스타일 (100/100)

0/371 elements with inline styles (0.0%)

{
  "url": "https://iamsunildev.in",
  "timestamp": 1791014357271,
  "fetch": {
    "mode": "simple",
    "timeMs": 206,
    "htmlSizeBytes": 43385,
    "supportsMarkdown": false,
    "markdownAgents": {
      "contentNegotiation": false,
      "mdUrl": {
        "found": false,
        "url": null
      },
      "linkTag": {
        "found": false,
        "url": null
      },
      "linkHeader": {
        "found": false,
        "url": null
      },
      "responseHeaders": {
        "contentSignal": null,
        "xMarkdownTokens": null,
        "vary": null
      },
      "frontmatter": {
        "present": false,
        "fields": [],
        "level": "none"
      },
      "level": "none"
    },
    "statusCode": 200
  },
  "extraction": {
    "title": "Sunil J — Senior Software Engineer",
    "excerpt": "Senior Software Engineer with 4+ years of experience building event-driven systems and cloud-native architectures on AWS & GCP.",
    "byline": null,
    "siteName": null,
    "lang": "en",
    "contentLength": 4360,
    "metadata": {
      "description": "Senior Software Engineer with 4+ years of experience building event-driven systems and cloud-native architectures on AWS & GCP.",
      "ogTitle": null,
      "ogDescription": null,
      "ogImage": null,
      "ogType": null,
      "canonical": null,
      "lang": "en",
      "schemas": [],
      "robotsMeta": null,
      "author": null,
      "generator": null,
      "markdownAlternateHref": null
    }
  },
  "markdown": "👨‍💻 Hello, I'm\n\nSenior Software Engineer\n\nSenior Software Engineer with 4+ years of experience building scalable cloud-native applications, distributed systems, and enterprise SaaS products across AWS and GCP. I focus on reliable platform engineering, cost optimization, and delivering high-impact features end-to-end.\n\n[Contact Me](https://iamsunildev.in/#contact)[](https://github.com/iamsunildev \"GitHub\")[](https://linkedin.com/in/iamsunildev \"LinkedIn\")[](https://leetcode.com/iamsunildev \"LeetCode\")\n\nFull-Stack Engineer\n\n4+\n\nYears of Experience\n\n30%\n\nCloud Cost Savings\n\n50%\n\nFaster CI/CD Builds\n\n1000+\n\nLeetCode Problems\n\nToolbox\n\n## Skills\n\n### Languages\n\nTypeScriptJavaScriptPythonSQL\n\n### Frameworks\n\nReactTanstack StartAngularExpress.jsNestJSReduxZustand\n\n### Platforms\n\nAWSGoogle CloudCloudflareVercel\n\n### Databases / ORMs\n\nPostgreSQLMySQLRedisFirebaseElasticsearchPrismaSequelize\n\n### Tools\n\nDockerKubernetesS3EC2LambdaSQSECSCloud RunCloud FunctionsPub/SubSentryCloudWatchGitHub ActionsCloud Buildpnpm\n\n### CS Fundamentals\n\nLinuxData StructuresAlgorithms1000+ LeetCode Problems\n\nWhere I've Worked\n\n## Experience\n\nMar 2025 - Present\n\n-   Led frontend modernization of a production React/TypeScript monolith — migrated from CRA to Vite and integrated React Compiler, improving build times, page load, and long-term maintainability.\n-   Implemented LTI 1.3 integrations to onboard 5+ enterprise LMS partners, reducing per-client integration time from days to minutes and unblocking a key revenue channel.\n-   Designed a bulk user onboarding pipeline using AWS SQS, S3 event notifications, and Lambda with chunked processing and retries — replacing a synchronous flow that timed out beyond a few hundred users; now reliably handles 30K+ users in a single run.\n-   Architected a License Management System replacing legacy direct course enrollment with a license-seat model supporting rotation, lifecycle states, and grace periods, giving enterprise clients real-time visibility into purchased vs used capacity.\n-   Mentored 2 interns on codebase architecture, code review practices, and production workflows; both converted to full-time engineers based on delivery and performance.\n-   Optimized CI/CD pipelines by migrating from npm to pnpm, restructuring Dockerfiles for better layer caching, and parallelizing build steps — cutting build times by ~50% and pipeline cost by ~30%.\n\nJun 2022 - Mar 2025\n\n-   Led the end-to-end development of the PAT Workflow application from initial scoping through production rollout, owning architecture, API design, and frontend delivery.\n-   Migrated workloads from VM instance groups to Kubernetes (GKE), introducing horizontal pod autoscaling and resource limits that reduced infrastructure spend by ~30% while improving traffic-spike resilience.\n-   Built a CI/CD pipeline on Google Cloud Build and GitHub Actions with automated tests, image builds, and staged deploys — taking deployments from a manual multi-step process to a single merge-to-deploy flow.\n-   Upgraded Node.js and packages, migrated codebase to TypeScript, and introduced comprehensive unit tests, achieving 99% endpoint reliability and reduced technical debt.\n-   Led a project to optimize unused AWS resources by categorizing each based on purpose and implementing S3 bucket expiration policies, resulting in substantial annual cost reductions.\n-   Optimized SQL queries, reducing execution time by over ~80%, significantly improving database performance and overall system efficiency.\n-   Owned frontend feature delivery for the platform, improving responsiveness across devices and shipping UX changes that improved page load and user engagement.\n\nThings I've Built\n\n## Projects\n\n### Cloud Transcoder\n\nA cloud-native transcoder built with AWS Lambda and S3 to convert videos to different formats and resolutions.\n\nPythonDockerS3EC2CloudWatchCloudFront\n\n[Code](https://github.com/iamsunildev/cloud-transcoder)\n\n### Audio House\n\nA audio chat application made with React, Typescript, Stream.io\n\nReactTypeScriptStream.ioNode.jsExpress.js\n\n[Code](https://github.com/iamsunildev/audio-house)\n\n### Ping Point\n\nA real time chat application, with individual/group chats, profiles, sharing media files and more.\n\nReactTypeScriptNode.jsPostgreSQLSocket.io\n\n[Code](https://github.com/iamsunildev/ping-point)\n\nBragging Rights\n\n## Achievements\n\nSolved 1,000+ LeetCode problems and earned 25+ badges across DSA topics including DP and Graphs.\n\nGraduated with distinction — ranked 1st in BSc Computer Technology (2022).\n\nRecognized twice for delivering the LTI 1.3 enterprise integration and resolving high-priority production issues under tight deadlines.\n\nAwarded Neo Champion, Shining Star, and Rookie Neo for overall performance, team contribution, and rapid early-career growth.\n\nWhere I Studied\n\n## Education\n\nJun 2023 - May 2025\n\n[### SRM University](https://www.srmist.edu.in/ \"Visit SRM University\")\n\nMCA (Computer Application)\n\nTamil Nadu, India\n",
  "fullPageMarkdown": "Sunil J — Senior Software Engineer\n\n[![](https://iamsunildev.in/favicon.svg)Sunil J.](https://iamsunildev.in/#about)[Resume](https://iamsunildev.in/resume.pdf)\n\n👨‍💻 Hello, I'm\n\n# Sunil J\n\nSenior Software Engineer\n\nSenior Software Engineer with 4+ years of experience building scalable cloud-native applications, distributed systems, and enterprise SaaS products across AWS and GCP. I focus on reliable platform engineering, cost optimization, and delivering high-impact features end-to-end.\n\n[Contact Me](https://iamsunildev.in/#contact)[](https://github.com/iamsunildev \"GitHub\")[](https://linkedin.com/in/iamsunildev \"LinkedIn\")[](https://leetcode.com/iamsunildev \"LeetCode\")\n\n👨‍💻Sunil JSenior Software Engineer\n\n![](https://iamsunildev.in/me.jpeg)\n\nFull-Stack Engineer\n\n4+\n\nYears of Experience\n\n30%\n\nCloud Cost Savings\n\n50%\n\nFaster CI/CD Builds\n\n1000+\n\nLeetCode Problems\n\nToolbox## Skills\n\n### Languages\n\nTypeScriptJavaScriptPythonSQL\n\n### Frameworks\n\nReactTanstack StartAngularExpress.jsNestJSReduxZustand\n\n### Platforms\n\nAWSGoogle CloudCloudflareVercel\n\n### Databases / ORMs\n\nPostgreSQLMySQLRedisFirebaseElasticsearchPrismaSequelize\n\n### Tools\n\nDockerKubernetesS3EC2LambdaSQSECSCloud RunCloud FunctionsPub/SubSentryCloudWatchGitHub ActionsCloud Buildpnpm\n\n### CS Fundamentals\n\nLinuxData StructuresAlgorithms1000+ LeetCode Problems\n\nWhere I've Worked## Experience\n\n[### Whizlabs](https://www.whizlabs.com/ \"Visit Whizlabs\")\n\nSenior Software Engineer\n\nMar 2025 - Present\n\n-   Led frontend modernization of a production React/TypeScript monolith — migrated from CRA to Vite and integrated React Compiler, improving build times, page load, and long-term maintainability.\n-   Implemented LTI 1.3 integrations to onboard 5+ enterprise LMS partners, reducing per-client integration time from days to minutes and unblocking a key revenue channel.\n-   Designed a bulk user onboarding pipeline using AWS SQS, S3 event notifications, and Lambda with chunked processing and retries — replacing a synchronous flow that timed out beyond a few hundred users; now reliably handles 30K+ users in a single run.\n-   Architected a License Management System replacing legacy direct course enrollment with a license-seat model supporting rotation, lifecycle states, and grace periods, giving enterprise clients real-time visibility into purchased vs used capacity.\n-   Mentored 2 interns on codebase architecture, code review practices, and production workflows; both converted to full-time engineers based on delivery and performance.\n-   Optimized CI/CD pipelines by migrating from npm to pnpm, restructuring Dockerfiles for better layer caching, and parallelizing build steps — cutting build times by ~50% and pipeline cost by ~30%.\n\n[### Iamneo.ai](https://iamneo.ai/ \"Visit Iamneo.ai\")\n\nSoftware Engineer\n\nJun 2022 - Mar 2025\n\n-   Led the end-to-end development of the PAT Workflow application from initial scoping through production rollout, owning architecture, API design, and frontend delivery.\n-   Migrated workloads from VM instance groups to Kubernetes (GKE), introducing horizontal pod autoscaling and resource limits that reduced infrastructure spend by ~30% while improving traffic-spike resilience.\n-   Built a CI/CD pipeline on Google Cloud Build and GitHub Actions with automated tests, image builds, and staged deploys — taking deployments from a manual multi-step process to a single merge-to-deploy flow.\n-   Upgraded Node.js and packages, migrated codebase to TypeScript, and introduced comprehensive unit tests, achieving 99% endpoint reliability and reduced technical debt.\n-   Led a project to optimize unused AWS resources by categorizing each based on purpose and implementing S3 bucket expiration policies, resulting in substantial annual cost reductions.\n-   Optimized SQL queries, reducing execution time by over ~80%, significantly improving database performance and overall system efficiency.\n-   Owned frontend feature delivery for the platform, improving responsiveness across devices and shipping UX changes that improved page load and user engagement.\n\nThings I've Built## Projects\n\n### Cloud Transcoder\n\nA cloud-native transcoder built with AWS Lambda and S3 to convert videos to different formats and resolutions.\n\nPythonDockerS3EC2CloudWatchCloudFront\n\n[Code](https://github.com/iamsunildev/cloud-transcoder)\n\n### Audio House\n\nA audio chat application made with React, Typescript, Stream.io\n\nReactTypeScriptStream.ioNode.jsExpress.js\n\n[Code](https://github.com/iamsunildev/audio-house)\n\n### Ping Point\n\nA real time chat application, with individual/group chats, profiles, sharing media files and more.\n\nReactTypeScriptNode.jsPostgreSQLSocket.io\n\n[Code](https://github.com/iamsunildev/ping-point)\n\nBragging Rights## Achievements\n\n### Algorithmic Depth\n\nSolved 1,000+ LeetCode problems and earned 25+ badges across DSA topics including DP and Graphs.\n\n### Ranked 1st in UG\n\nGraduated with distinction — ranked 1st in BSc Computer Technology (2022).\n\n### Whizlabs Recognition\n\nRecognized twice for delivering the LTI 1.3 enterprise integration and resolving high-priority production issues under tight deadlines.\n\n### Iamneo Awards\n\nAwarded Neo Champion, Shining Star, and Rookie Neo for overall performance, team contribution, and rapid early-career growth.\n\nWhere I Studied## Education\n\nJun 2023 - May 2025\n\n[### SRM University](https://www.srmist.edu.in/ \"Visit SRM University\")\n\nMCA (Computer Application)\n\nTamil Nadu, India\n\nJul 2019 - May 2022\n\n[### VLB College of Arts and Science](https://www.vlbjcas.ac.in/ \"Visit VLB College of Arts and Science\")\n\nBSc (Computer Technology)\n\nTamil Nadu, India\n",
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    {
      "id": "add_schema_org",
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  "snippets": [
    {
      "id": "add_llms_txt",
      "title": "Create /llms.txt",
      "description": "Upload this file to your web root. It tells AI agents what your site is about and which pages matter.",
      "language": "markdown",
      "code": "# iamsunildev.in\n\n> Senior Software Engineer with 4+ years of experience building event-driven systems and cloud-native architectures on AWS & GCP.\n\n## Main\n- [Sunil J — Senior Software Engineer](https://iamsunildev.in): Senior Software Engineer with 4+ years of experience building event-driven systems and cloud-native architectures on AW…\n- [Sunil J.](https://iamsunildev.in/)\n- [Resume](https://iamsunildev.in/resume.pdf)\n\n",
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    {
      "id": "add_open_graph",
      "title": "Add missing Open Graph tags",
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      "language": "html",
      "code": "<meta property=\"og:title\" content=\"Sunil J — Senior Software Engineer\">\n<meta property=\"og:description\" content=\"Senior Software Engineer with 4+ years of experience building event-driven systems and cloud-native architectures on AWS &amp; GCP.\">\n<meta property=\"og:image\" content=\"https://yoursite.com/og-image.jpg\">\n<meta property=\"og:url\" content=\"https://iamsunildev.in\">\n<meta property=\"og:type\" content=\"website\">",
      "filename": "<head>",
      "stacks": [
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          "id": "html",
          "label": "HTML <head>",
          "language": "html",
          "filename": "<head>",
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        }
      ]
    },
    {
      "id": "add_canonical_url",
      "title": "Add canonical URL",
      "description": "The canonical URL tells AI agents which version of the page is the \"official\" one, avoiding duplicate content issues.",
      "language": "html",
      "code": "<link rel=\"canonical\" href=\"https://iamsunildev.in\">",
      "filename": "<head>"
    },
    {
      "id": "add_schema_org",
      "title": "Add Schema.org JSON-LD",
      "description": "Structured data helps AI agents understand the type, author, and purpose of your content.",
      "language": "html",
      "code": "<script type=\"application/ld+json\">\n{\n  \"@context\": \"https://schema.org\",\n  \"@type\": \"WebPage\",\n  \"name\": \"Sunil J — Senior Software Engineer\",\n  \"description\": \"Senior Software Engineer with 4+ years of experience building event-driven systems and cloud-native architectures on AWS & GCP.\",\n  \"url\": \"https://iamsunildev.in\",\n  \"inLanguage\": \"en\"\n}\n</script>",
      "filename": "<head>"
    },
    {
      "id": "add_sitemap",
      "title": "Create /sitemap.xml",
      "description": "A sitemap helps AI agents discover all your pages. Most CMS platforms generate one automatically.",
      "language": "xml",
      "code": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<urlset xmlns=\"http://www.sitemaps.org/schemas/sitemap/0.9\">\n  <url>\n    <loc>https://iamsunildev.in</loc>\n    <lastmod>2026-10-03</lastmod>\n  </url>\n</urlset>",
      "filename": "/sitemap.xml"
    },
    {
      "id": "add_content_signals",
      "title": "Add Content-Signal directives",
      "description": "Content-Signal tells AI agents how they may use your content. The canonical location is robots.txt, but you can also expose it as an HTTP header from any stack.",
      "language": "txt",
      "code": "User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no",
      "filename": "/robots.txt",
      "stacks": [
        {
          "id": "robots",
          "label": "robots.txt",
          "language": "txt",
          "filename": "/robots.txt",
          "code": "User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no"
        },
        {
          "id": "nginx",
          "label": "Nginx",
          "language": "nginx",
          "filename": "server block",
          "code": "# Inside your server { } block:\nadd_header Content-Signal \"search=yes, ai-input=yes, ai-train=no\" always;"
        },
        {
          "id": "apache",
          "label": "Apache",
          "language": "apache",
          "filename": ".htaccess",
          "code": "# In .htaccess (or VirtualHost):\nHeader set Content-Signal \"search=yes, ai-input=yes, ai-train=no\""
        },
        {
          "id": "wordpress",
          "label": "WordPress",
          "language": "php",
          "filename": "functions.php",
          "code": "<?php\n// In your theme's functions.php or a small mu-plugin\nadd_action('send_headers', function () {\n    header('Content-Signal: search=yes, ai-input=yes, ai-train=no');\n});\n\n// Optional: also append the directive to the dynamic robots.txt\nadd_filter('robots_txt', function ($output) {\n    return $output . \"\\nContent-Signal: search=yes, ai-input=yes, ai-train=no\\n\";\n}, 10, 1);"
        },
        {
          "id": "nextjs",
          "label": "Next.js",
          "language": "typescript",
          "filename": "middleware.ts",
          "code": "// middleware.ts (Next.js 13+ App Router or Pages Router)\nimport { NextResponse } from 'next/server';\nexport function middleware() {\n  const res = NextResponse.next();\n  res.headers.set(\n    'Content-Signal',\n    'search=yes, ai-input=yes, ai-train=no'\n  );\n  return res;\n}\nexport const config = { matcher: '/:path*' };"
        },
        {
          "id": "cloudflare",
          "label": "Cloudflare Workers",
          "language": "javascript",
          "filename": "worker.js",
          "code": "// Cloudflare Worker that proxies your origin and adds the header\nexport default {\n  async fetch(request, env, ctx) {\n    const res = await fetch(request);\n    const newRes = new Response(res.body, res);\n    newRes.headers.set(\n      'Content-Signal',\n      'search=yes, ai-input=yes, ai-train=no'\n    );\n    return newRes;\n  },\n};"
        },
        {
          "id": "express",
          "label": "Express / Fastify",
          "language": "javascript",
          "filename": "server.js",
          "code": "// Express\napp.use((req, res, next) => {\n  res.setHeader('Content-Signal', 'search=yes, ai-input=yes, ai-train=no');\n  next();\n});\n\n// Fastify\nfastify.addHook('onSend', (request, reply, payload, done) => {\n  reply.header('Content-Signal', 'search=yes, ai-input=yes, ai-train=no');\n  done();\n});"
        }
      ]
    },
    {
      "id": "add_markdown_negotiation",
      "title": "Support Markdown for Agents",
      "description": "Let AI agents request a clean Markdown version of any page via content negotiation, .md alternate URLs, link tags or Link headers.",
      "language": "html",
      "code": "<!-- Mechanism 3: link tag advertising the .md alternate -->\n<link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">",
      "filename": "<head>",
      "stacks": [
        {
          "id": "html",
          "label": "HTML <head>",
          "language": "html",
          "filename": "<head>",
          "code": "<!-- Mechanism 3: link tag advertising the .md alternate -->\n<link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">"
        },
        {
          "id": "express",
          "label": "Express",
          "language": "javascript",
          "filename": "server.js",
          "code": "// Mechanisms 1 + 4: content negotiation + Link header\napp.get('/page', (req, res) => {\n  res.setHeader('Vary', 'Accept');\n  res.setHeader('Link', '</page.md>; rel=\"alternate\"; type=\"text/markdown\"');\n  if ((req.headers.accept || '').includes('text/markdown')) {\n    res.type('text/markdown; charset=utf-8');\n    return res.send(renderMarkdown('page'));\n  }\n  res.render('page');\n});"
        },
        {
          "id": "fastify",
          "label": "Fastify",
          "language": "javascript",
          "filename": "server.js",
          "code": "// Mechanisms 1 + 4: content negotiation + Link header\nfastify.get('/page', async (req, reply) => {\n  reply.header('Vary', 'Accept');\n  reply.header('Link', '</page.md>; rel=\"alternate\"; type=\"text/markdown\"');\n  if ((req.headers.accept || '').includes('text/markdown')) {\n    return reply.type('text/markdown; charset=utf-8').send(renderMarkdown('page'));\n  }\n  return reply.view('/page.ejs');\n});"
        },
        {
          "id": "nextjs",
          "label": "Next.js",
          "language": "typescript",
          "filename": "app/page/route.ts",
          "code": "// Next.js App Router — Route Handler returning Markdown\nimport { NextRequest } from 'next/server';\nimport { renderMarkdown } from '@/lib/md';\nexport async function GET(req: NextRequest) {\n  const accept = req.headers.get('accept') || '';\n  if (accept.includes('text/markdown')) {\n    return new Response(await renderMarkdown('page'), {\n      headers: {\n        'Content-Type': 'text/markdown; charset=utf-8',\n        'Vary': 'Accept',\n      },\n    });\n  }\n  // Fall through to the page component\n  return new Response(null, { status: 404 });\n}"
        },
        {
          "id": "wordpress",
          "label": "WordPress",
          "language": "php",
          "filename": "functions.php",
          "code": "<?php\n// Mechanism 1: respond to Accept: text/markdown on the same URL\nadd_action('template_redirect', function () {\n    if (!is_singular()) return;\n    $accept = $_SERVER['HTTP_ACCEPT'] ?? '';\n    if (strpos($accept, 'text/markdown') === false) return;\n    header('Content-Type: text/markdown; charset=utf-8');\n    header('Vary: Accept');\n    $post = get_queried_object();\n    echo \"# \" . get_the_title($post) . \"\\n\\n\";\n    echo wp_strip_all_tags(apply_filters('the_content', $post->post_content));\n    exit;\n});"
        },
        {
          "id": "static",
          "label": "Hugo / Jekyll / Astro",
          "language": "txt",
          "filename": "static/page.md",
          "code": "# Mechanism 2: serve .md alongside .html\n# Hugo: place page.md in /static/ — built unchanged\n# Jekyll: drop page.md in /assets/ — copied as-is\n# Astro: src/pages/page.md.ts that exports a GET returning markdown\n\n# Then advertise with mechanism 3 in <head>:\n#   <link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">"
        }
      ]
    }
  ]
}

API를 사용하여 프로그래밍 방식으로 가져올 수 있습니다 (곧 출시)

이 JSON은 내부용입니다 — Markdown 및 llms.txt 파일과 달리 사이트에 업로드하기 위한 것이 아닙니다. 시간에 따른 점수 추적을 위한 기준값으로 저장하거나, 개발팀과 공유하거나, CI/CD 파이프라인에 통합하세요.

결과 공유

또는 AI에게 개선 방법을 물어보세요

다른 의견도 들어보시겠어요?

Cloudflare에도 무료 스캐너가 있는데, 던지는 질문이 다릅니다. 그쪽은 에이전트가 호출할 수 있도록 사이트가 게시한 것(MCP 서버 카드, Agent Skills, API 카탈로그, DNS 레코드)을 채점합니다. 저희는 에이전트가 콘텐츠에 도달해 읽고 이해할 수 있는지를 채점합니다. 한쪽은 좋고 다른 쪽은 나쁠 수 있으니 두 점수가 다른 것은 당연합니다. 서로 다른 질문에 대한 답이고, 둘 다 알아둘 가치가 있습니다.

Cloudflare로 iamsunildev.in 검사하기

배지 삽입

이 배지를 사이트에 추가하세요. AI 준비도 점수가 변경되면 자동으로 업데이트됩니다.

AgentReady.md score for iamsunildev.in
Script 권장
<script src="https://agentready.md/badge.js" data-id="6d037364-7d27-4775-a3c2-2977f834fb09" data-domain="iamsunildev.in"></script>
Markdown
[![AgentReady.md score for iamsunildev.in](https://agentready.md/badge/iamsunildev.in.svg)](https://agentready.md/ko/r/iamsunildev.in)

곧 출시: 전체 도메인 분석

전체 도메인을 크롤링하고, llms.txt를 생성하고, AI 준비도 점수를 시간에 따라 모니터링하세요. 대기자 명단에 등록하여 알림을 받으세요.

명단에 등록되었습니다! 서비스 출시 시 알려드리겠습니다.