Computer Science Engineering graduate passionate about building scalable backend systems, AI-powered applications, and high-performance APIs.
- 🎓 B.E. Computer Science graduate from Chennai Institute of Technology
- 💻 Backend-focused developer experienced in FastAPI, Node.js, Java Servlets, PostgreSQL, Redis, and scalable API systems
- 🤖 Interested in AI systems, RAG pipelines, LangGraph workflows, and distributed backend architectures
- ⚡ Competitive Programmer with:
- LeetCode: 2029 (Knight)
- CodeChef: 1742 (3★)
- Codeforces: 1418 (Specialist)
- 🏆 Maintained a 600+ day LeetCode streak
- ☁️ Certified in Azure and AWS Cloud
Feb 2026 – May 2026 | Chennai
- Worked on scalable e-commerce backend APIs supporting 1250+ concurrent users
- Improved ML pipeline accuracy from 84.23% → 94.12%
- Built concurrent scraping and classification systems using Playwright + SBERT
- Optimized backend performance using:
- Async processing
- Worker threads
- DB connection pooling
Aug 2025 – Feb 2026 | Chennai
- Developed backend services using:
- FastAPI
- PostgreSQL
- Redis
- Azure Blob Storage
- Built AI-powered conversational workflows using LangGraph
- Implemented Redis caching and API throttling
- Developed modular reusable backend services
Python Java C++ JavaScript TypeScript Dart
FastAPI Node.js Express.js Flask Java Servlets React.js
PostgreSQL MongoDB MySQL Redis Firestore Azure
LangChain LangGraph LangSmith SBERT RAG Pipelines
Docker Git Postman JMeter Playwright
Java Servlets • PostgreSQL • Apache Tomcat
- Built 55+ REST APIs
- Supported 1300 concurrent users
- Processed 7500+ requests during load testing
- Implemented RBAC authentication and order workflows
FastAPI • PostgreSQL • Redis • MongoDB
- Developed scalable backend microservices
- Implemented Redis locking to prevent double bookings
- Added JWT authentication and RBAC authorization
- Optimized API response time using Redis caching
LangGraph • FastAPI • React
- Built multi-flow conversational AI workflows
- Implemented RAG pipelines with retrieval + reranking
- Added streaming responses and persistent memory
- Integrated LangSmith tracing and monitoring
Python • Playwright • Machine Learning
- Built automated webpage classification pipeline
- Achieved 94.12% model accuracy
- Implemented concurrent scraping workflows
- Added unknown-category rejection logic
- 🥇 AIR 15387 in GATE 2025 (CSE)
- 🏅 Ranked 579 in ICPC Preliminary Contest 2024
- 🥈 Runner-up — SAMHITA Hackathon 2024
- ✅ Qualified for TCS CodeVita Round 2 (Seasons 11 & 12)
- Microsoft Certified: Azure Developer Associate
- AWS Certified Cloud Practitioner
- LangChain for Python
- LangGraph for Python
- LangSmith Essentials