

Full-Stack Developer
Passionate developer with hands-on experience in building modern web applications using Next.js and TypeScript. Skilled in machine learning, data science, and prompt engineering, with a strong focus on creating innovative and impactful solutions.
Developed a popular VSCode theme with growing community adoption
Built a coding assessment platform serving the developer community
Successfully organized and managed UHack 5.0 hackathon event
A comprehensive command-line tool for automating common development tasks and project setup
• Built and deployed an AI-powered Medical Claims Processing Pipeline for Ayushman Bharat (PM-JAY), leveraging OCR, rule-based validation, ICD-11 mapping, and automated claim decisioning to process 1,000+ claims daily while reducing review time from 15 minutes to 2–3 minutes.
• Developed a claim-readiness validation engine that automatically identified incomplete, inconsistent, or ambiguous PM-JAY cases and generated structured rejection reasons before human review.
• Designed and implemented a production-grade RAG system for clinical document question answering, enabling efficient retrieval and analysis of patient and claim-related information.
• Integrated AI pipelines into the claims portal using Node.js, Express.js, Sequelize, and PostgreSQL, improving workflow automation.
• Architected a secure 3-stage CI/CD pipeline comprising Docker image builds, Trivy vulnerability scanning, and automated deployments.
Tech Stack: Python, Node.js, Express.js, PostgreSQL, Sequelize, OCR, LLMs, RAG, Qdrant, OpenAI GPT, Google Gemini, Docker, CI/CD, LangChain, LangGraph, Postman, REST APIs
• Shipped three production-ready platforms (GigaNext, Giganett, ARN Network) using Node.js, Express.js, Next.js, and React.js with modular REST APIs and Sequelize ORM, improving client engagement and lead generation by 30%.
• Integrated PhonePe Payment Gateway and third-party services, enabling secure transaction processing exceeding ₹2,00,000+ in monthly volume.
• Designed and maintained backend services, database schemas, and API integrations using MySQL and Sequelize ORM.
• Implemented API testing using Postman and unit testing with Jest, while establishing structured logging and centralized error monitoring.
• Optimized application performance through API caching, database query optimization, image compression, and bundle splitting, reducing page load times from 2.5s to 1.4s.
Tech Stack: Next.js, React.js, Node.js, Express.js, MySQL, Sequelize, PhonePe Payment Gateway, Jest, Postman, Tailwind CSS, REST APIs
• Built a real-time performance tracking and career guidance platform enabling users to monitor skill growth and discover relevant job opportunities.
• Architected REST APIs with Node.js and Express.js optimized for low latency and high throughput, ensuring smooth user experience.
• Integrated MongoDB and Firebase to deliver live progress updates with 99% accuracy, improving user engagement.
• Wrote detailed API documentation and collaborated closely with React Native developers, reducing development cycles by 35%.
• Conducted database query tuning and caching strategies to boost app performance by 30% and reduce server response times.
Tech Stack: React Native, Node.js, Express.js, MongoDB, Firebase, TypeScript, Postman, REST APIs
• Designed and implemented the backend architecture for a University Attendance Management System using Node.js, Express.js, and MySQL.
• Developed complex SQL queries and stored procedures to automate attendance tracking, generate reports, and handle absentee exceptions, reducing manual effort by 70%.
• Integrated role-based authentication and secure login systems for students, faculty, and admins ensuring controlled access to data.
• Implemented input validation, error handling, and optimized database indexing, resulting in faster query execution and improved system stability.
• Collaborated closely with faculty stakeholders to gather requirements and deliver a production-ready system.
Tech Stack: Next.js, TypeScript, Node.js, Express.js, MySQL, Postman, Tailwind CSS, REST APIs
AI Engineer with 1 year 9 months of professional experience, including 8 months specializing in Generative AI and Healthcare AI. I build production-grade AI systems using LLMs, RAG, OCR, and Vector Databases to automate complex workflows and solve real-world problems. Experienced in developing scalable backend systems with Node.js, Python, and PostgreSQL, with a strong focus on AI-powered healthcare automation and intelligent document processing.
1 Year 9 Months Overall8 Months as AI Engineer
Delhi, India
B.Tech in Artificial Intelligence & Data ScienceGGSIPU, 2025
Hindi (Native)English (Professional)