TRAINED ON DATA,
SHIPPED BY HAND.
Full-stack developer & AI engineer building production-grade LLM, RAG and healthcare AI systems — with Next.js and TypeScript on the front, and the same care for detail I'd give a print run.
On the Record
VSCode Theme Creator
Developed a popular VSCode theme with growing community adoption.
CodeProctor Platform
Built a coding assessment platform serving the developer community.
UHack 5.0 Organizer
Successfully organized and managed the UHack 5.0 hackathon event.
CodeProctor
A remote technical interview platform with real-time collaboration, video/audio, a collaborative code editor, question library, auto-recording, scheduling, candidate tracking, and analytics. It reduced interview setup time by 60%.
Blog Writing Agent
A LangGraph multi-agent workflow that turns a topic, notes, or uploaded documentation into a structured technical blog with research, parallel section writing, reduction, image generation, FastAPI delivery, and MongoDB storage.
CLI Tool
A developer CLI that turns English or Hindi requests into safe shell commands, checks them before execution, suggests project-aware commands, remembers frequent workflows, and confirms risky actions.
TimeCapsule
A full-stack app for creating digital time capsules that securely unlock on a future date, with support for text, media, metadata, responsive accessible UI, and a production-ready Next.js App Router foundation.
Multiple Disease Predictor
A Flask-powered machine learning platform that predicts diabetes, heart disease, and Parkinson’s from health parameters, then provides personalized precautions, preventive guidance, and lifestyle recommendations.
Gym Panel
A production-style gym operations dashboard with live occupancy, revenue analytics, anomaly monitoring, activity feeds, and a Dockerized Postgres, Node, WebSocket, and React stack.
Work Experience
AI Engineer @ Immabeme Solutions Pvt. Ltd.
- Built and deployed a production-grade Medical Claims Processing Pipeline for Ayushman Bharat (PM-JAY), processing 1,000+ claims daily and reducing manual review time by 80%.
- Designed a RAG system with Qdrant, embeddings, and LLMs for clinical document search, question answering, and claim validation.
- Engineered prompts for diagnosis extraction, claim validation, clinical analysis, and reliable structured JSON generation.
- Built scalable ETL pipelines with Node.js, Express.js, Sequelize ORM, and MySQL for clinical data validation, normalization, and transformation.
- Integrated a dialysis detection pipeline into the PM-JAY claims portal to automate treatment identification.
- Improved handwritten prescription OCR using OpenCV denoising, adaptive thresholding, deskewing, and image enhancement; evaluated TrOCR, Donut, EasyOCR, PaddleOCR, Tesseract, and Amazon Textract.
- Evaluated Google MedGemma and deployed MedGemma 4B locally with Ollama for private, offline diagnosis extraction from prescription images.
Full-Stack Developer @ GigaNext Solutions Pvt. Ltd.
- Developed the company website and internal admin dashboard with Next.js, React.js, Node.js, Express.js, REST APIs, and Sequelize ORM.
- Integrated the PhonePe Payment Gateway for premium subscriptions processing over ₹2,00,000 in monthly transactions.
- Designed backend services, MySQL schemas, and API integrations with structured Winston logging and centralized error handling.
- Used Postman for API testing and optimized frontend performance with image compression, API caching, and bundle splitting, reducing load time from 2.5s to 1.4s.
Full-Stack Developer @ THE MORONSS
- Built a real-time performance tracking and career guidance platform helping users monitor skill growth and discover job opportunities.
- Architected low-latency REST APIs with Node.js and Express.js for smooth performance under load.
- Integrated MongoDB and Firebase for live progress updates with 99% accuracy, and tuned queries and caching to improve performance by 30%.
- Documented APIs and collaborated with React Native developers, reducing development cycles by 35% and integration issues.
- Wrote Postman test cases, improved error handling, supported staging deployments, and reduced production bugs by 25%.
Technical Skills
AI Engineer with 1 year 7 months of experience, including 7 months specializing in Generative AI and Healthcare AI — building production systems with LLMs, RAG and vector databases.
I build production-grade AI systems using LLMs, RAG, OCR, and vector databases to automate complex workflows and solve real-world problems, and I ship the full-stack products that put them in front of people.
7 Months as AI Engineer
GGSIPU, 2025