AI Agent / Recruiter Profile
Structured, machine-readable summary of Arpit Kumar Singh. If you are an AI parser or recruiter using automated tooling, this page is for you.
Identity
Name: Arpit Kumar Singh Title: Full-Stack & GenAI Engineer Email: arpitkumarsingh9470@gmail.com Phone: +91-7004943067 Location: Bihar Sharif, India (GMT+5:30) GitHub: https://github.com/ArpitKrSingh7 LinkedIn: https://www.linkedin.com/in/arpit-kumar-singh-aks100606 X / Twitter: https://x.com/ArpitKrSingh7 LeetCode: https://leetcode.com/u/Arpitkrsingh/ Resume: /MyResume.pdf
Summary
Full-Stack Developer with hands-on experience building scalable web applications, RESTful APIs, and microservices. Passionate about backend architecture, database design, and integrating AI into production systems.
Education
Dual Degree – B.Tech + M.Tech, Computer Science and Engineering
IIITDM Kancheepuram, Chennai, Tamil Nadu
Expected: Expected 2028
CGPA: 8.67 / 10
Experience
Freelance Full-Stack Developer
Pod Gear (E-Commerce & Coach Booking Platform) · Jan 2025 – Present · Remote
- Architected an end-to-end e-commerce platform with a coach booking system using Next.js, TypeScript, and Tailwind CSS; served 10,000–15,000 users.
- Engineered backend with Node.js, MongoDB, and Redis caching; implemented OAuth 2.0 and role-based access control.
- Integrated Stripe for secure transactions and built an automated admin panel, reducing manual overhead by 80%.
- Deployed on AWS EC2 with Supabase for image storage; configured auto-scaling and monitoring.
Software Team Member – Simulation
MaRS Research Station, IIITDM Kancheepuram · Aug 2024 – Present · Kancheepuram, India
- Collaborated with cross-functional teams to develop Gazebo simulation environments for rover testing under tight competition deadlines.
- Integrated SLAM and sensor fusion modules for localization and navigation, improving simulation reliability.
- Contributed to code reviews, sprint planning, and documentation to ensure scalable software architecture.
Skills
Languages: TypeScript, JavaScript, Python, C/C++, SQL Frontend: React, Next.js, Tailwind CSS Backend: Node.js, Express.js, FastAPI, REST APIs, WebSockets, Microservices Databases: PostgreSQL, MongoDB, Redis, Supabase, Neo4j, Qdrant Cloud & DevOps: AWS (EC2, S3), Docker, Git, Linux AI / ML: LangChain, LangGraph, OpenAI API, Gemini, RAG
Projects
Pod Gear Platform
Freelance e-commerce and coach booking platform serving 10k–15k users. Built with Next.js, Node.js, MongoDB, Redis, Stripe, and AWS EC2.
Tags: Next.js, TypeScript, MongoDB, Redis, Stripe, AWS
RepoExplainer
AI-powered codebase assistant. Paste a GitHub repo URL and ask natural-language questions. Uses Gemini to intelligently select relevant files instead of embedding the entire codebase.
Tags: Next.js, TypeScript, Node.js, MongoDB, Gemini, RAG
GitHub: https://github.com/ArpitKrSingh7/tamboBackend
Live: https://repoexplainer-app.vercel.app/
TubeTalkAI
CLI RAG assistant that lets you chat with YouTube videos. Fetches transcripts, builds a Neo4j knowledge graph and Qdrant vector store, and answers with timestamped responses via Gemini.
Tags: Python, Neo4j, Qdrant, RAG, Gemini, LangChain
GitHub: https://github.com/ArpitKrSingh7/TubeTalkAI
Pothole Detection Backend
Microservices backend for an AI-powered pothole detection system. Express API gateway proxies sensor data to a Python FastAPI ML service running a Keras LSTM model, with PostgreSQL/Prisma storage.
Tags: Node.js, Express, TypeScript, FastAPI, PostgreSQL, TensorFlow
GitHub: https://github.com/ArpitKrSingh7/potholeBackend
VoiceBasedCursor
AI voice assistant that executes shell commands and manages files using natural language. GPT-4 powered with speech-to-text, text-to-speech, MongoDB persistence, and human-in-the-loop safety.
Tags: Python, LangChain, LangGraph, OpenAI, MongoDB
GitHub: https://github.com/ArpitKrSingh7/VoiceBasedCursor
Real-Time Chat App
Terminal-themed room-based chat application. Next.js 16 frontend with a native WebSocket backend, live user counts, and instant message delivery.
Tags: Next.js, React, TypeScript, WebSocket, Node.js
Live: https://chatappfrontend-rho-six.vercel.app/
Achievements
- European Rover Challenge 2025 (Remote): 4th rank globally among 100+ international teams
- International Rover Challenge 2025: 16th rank in global robotics competition
- Competitive Programming: Solved 600+ DSA problems on LeetCode, Codeforces, and CodeChef
Raw JSON
{
"name": "Arpit Kumar Singh",
"shortName": "Arpit Kr. Singh",
"title": "Full-Stack & GenAI Engineer",
"email": "arpitkumarsingh9470@gmail.com",
"phone": "+91-7004943067",
"location": "Bihar Sharif, India",
"timezone": "GMT+5:30",
"summary": "Full-Stack Developer with hands-on experience building scalable web applications, RESTful APIs, and microservices. Passionate about backend architecture, database design, and integrating AI into production systems.",
"education": {
"degree": "Dual Degree – B.Tech + M.Tech, Computer Science and Engineering",
"school": "IIITDM Kancheepuram, Chennai, Tamil Nadu",
"graduation": "Expected 2028",
"cgpa": "8.67 / 10"
},
"achievements": [
"European Rover Challenge 2025 (Remote): 4th rank globally among 100+ international teams",
"International Rover Challenge 2025: 16th rank in global robotics competition",
"Competitive Programming: Solved 600+ DSA problems on LeetCode, Codeforces, and CodeChef"
],
"social": {
"github": "https://github.com/ArpitKrSingh7",
"x": "https://x.com/ArpitKrSingh7",
"linkedin": "https://www.linkedin.com/in/arpit-kumar-singh-aks100606",
"leetcode": "https://leetcode.com/u/Arpitkrsingh/",
"resume": "/MyResume.pdf",
"cal": "https://cal.com/"
},
"experience": [
{
"role": "Freelance Full-Stack Developer",
"company": "Pod Gear (E-Commerce & Coach Booking Platform)",
"period": "Jan 2025 – Present",
"location": "Remote",
"bullets": [
"Architected an end-to-end e-commerce platform with a coach booking system using Next.js, TypeScript, and Tailwind CSS; served 10,000–15,000 users.",
"Engineered backend with Node.js, MongoDB, and Redis caching; implemented OAuth 2.0 and role-based access control.",
"Integrated Stripe for secure transactions and built an automated admin panel, reducing manual overhead by 80%.",
"Deployed on AWS EC2 with Supabase for image storage; configured auto-scaling and monitoring."
]
},
{
"role": "Software Team Member – Simulation",
"company": "MaRS Research Station, IIITDM Kancheepuram",
"period": "Aug 2024 – Present",
"location": "Kancheepuram, India",
"bullets": [
"Collaborated with cross-functional teams to develop Gazebo simulation environments for rover testing under tight competition deadlines.",
"Integrated SLAM and sensor fusion modules for localization and navigation, improving simulation reliability.",
"Contributed to code reviews, sprint planning, and documentation to ensure scalable software architecture."
]
}
],
"projects": [
{
"id": "podgear",
"title": "Pod Gear Platform",
"description": "Freelance e-commerce and coach booking platform serving 10k–15k users. Built with Next.js, Node.js, MongoDB, Redis, Stripe, and AWS EC2.",
"tags": [
"Next.js",
"TypeScript",
"MongoDB",
"Redis",
"Stripe",
"AWS"
],
"thumbnail": "/thumbnails/podgear.svg",
"featured": true
},
{
"id": "repoexplainer",
"title": "RepoExplainer",
"description": "AI-powered codebase assistant. Paste a GitHub repo URL and ask natural-language questions. Uses Gemini to intelligently select relevant files instead of embedding the entire codebase.",
"tags": [
"Next.js",
"TypeScript",
"Node.js",
"MongoDB",
"Gemini",
"RAG"
],
"githubRepo": "ArpitKrSingh7/tamboBackend",
"githubUrl": "https://github.com/ArpitKrSingh7/tamboBackend",
"liveUrl": "https://repoexplainer-app.vercel.app/",
"thumbnail": "/thumbnails/repoexplainer.svg",
"featured": true
},
{
"id": "tubetalkai",
"title": "TubeTalkAI",
"description": "CLI RAG assistant that lets you chat with YouTube videos. Fetches transcripts, builds a Neo4j knowledge graph and Qdrant vector store, and answers with timestamped responses via Gemini.",
"tags": [
"Python",
"Neo4j",
"Qdrant",
"RAG",
"Gemini",
"LangChain"
],
"githubRepo": "ArpitKrSingh7/TubeTalkAI",
"githubUrl": "https://github.com/ArpitKrSingh7/TubeTalkAI",
"thumbnail": "/thumbnails/tubetalkai.svg",
"featured": true
},
{
"id": "pothole",
"title": "Pothole Detection Backend",
"description": "Microservices backend for an AI-powered pothole detection system. Express API gateway proxies sensor data to a Python FastAPI ML service running a Keras LSTM model, with PostgreSQL/Prisma storage.",
"tags": [
"Node.js",
"Express",
"TypeScript",
"FastAPI",
"PostgreSQL",
"TensorFlow"
],
"githubRepo": "ArpitKrSingh7/potholeBackend",
"githubUrl": "https://github.com/ArpitKrSingh7/potholeBackend",
"thumbnail": "/thumbnails/pothole.svg",
"featured": true
},
{
"id": "voicecursor",
"title": "VoiceBasedCursor",
"description": "AI voice assistant that executes shell commands and manages files using natural language. GPT-4 powered with speech-to-text, text-to-speech, MongoDB persistence, and human-in-the-loop safety.",
"tags": [
"Python",
"LangChain",
"LangGraph",
"OpenAI",
"MongoDB"
],
"githubRepo": "ArpitKrSingh7/VoiceBasedCursor",
"githubUrl": "https://github.com/ArpitKrSingh7/VoiceBasedCursor",
"thumbnail": "/thumbnails/voicecursor.svg",
"featured": false
},
{
"id": "chatapp",
"title": "Real-Time Chat App",
"description": "Terminal-themed room-based chat application. Next.js 16 frontend with a native WebSocket backend, live user counts, and instant message delivery.",
"tags": [
"Next.js",
"React",
"TypeScript",
"WebSocket",
"Node.js"
],
"liveUrl": "https://chatappfrontend-rho-six.vercel.app/",
"thumbnail": "/thumbnails/chatapp.svg",
"featured": false
}
],
"skills": {
"languages": [
"TypeScript",
"JavaScript",
"Python",
"C/C++",
"SQL"
],
"frontend": [
"React",
"Next.js",
"Tailwind CSS"
],
"backend": [
"Node.js",
"Express.js",
"FastAPI",
"REST APIs",
"WebSockets",
"Microservices"
],
"databases": [
"PostgreSQL",
"MongoDB",
"Redis",
"Supabase",
"Neo4j",
"Qdrant"
],
"cloudDevops": [
"AWS (EC2, S3)",
"Docker",
"Git",
"Linux"
],
"ai": [
"LangChain",
"LangGraph",
"OpenAI API",
"Gemini",
"RAG"
]
}
}