Specializing in high performance Backend Development with Python (FastAPI) and Node.js, building scalable, distributed systems by leveraging RabbitMQ, Celery, and Redis.
- Currently working on: Event Driven Microservices using RabbitMQ and FastAPI.
- Experience: Building production grade software.
- Problem Solving: Solved 360+ DSA questions on LeetCode.
| Domain | Technologies |
|---|---|
| Backend Core | Python, FastAPI, Node.js, Express, TypeScript |
| Distributed Systems | Redis, RabbitMQ, Celery |
| Database | MongoDB, PostgreSQL, SQLite3 |
| Infrastructure | Docker, Linux, AWS |
| Engineering | System Design, SOLID Principles, REST API Architecture |
National Finalist Project - Morgan Stanley Code to Give
An AI-powered assessment platform that handles multi-format submissions (Code, Audio, Text).
- Architecture: Hybrid Microservice (Node.js Gateway + Flask AI Service).
- Key Tech: Custom LLM Implementation, JWT Auth, Docker.
- The "Win": Reduced manual grading time by automating context-aware evaluation.



