I design and build reliable backend systems and APIs — the infrastructure that has to work correctly even when things go wrong.
What I offer:
- REST API design & development (Node.js, Python, Go)
- Database architecture & optimization (PostgreSQL, MongoDB, DynamoDB, Redis)
- Distributed systems & consensus algorithms (Go)
- Event-driven architecture & message queues (Kafka)
- Rate limiting, caching, and performance engineering (Redis)
- Production reliability engineering (retry logic, error handling, observability)
- Cloud integration (AWS — DynamoDB, S3)
- Docker & Kubernetes deployment
Recent work:
- A from-scratch implementation of the Raft consensus algorithm — the same protocol used by production systems like etcd and CockroachDB
- A distributed rate limiter (Go, Redis) benchmarked at 50,000+ decisions/sec with sub-millisecond latency
- Production backend work improving system reliability by 68% through better retry/error-handling design
Why work with me:
I have a strong computer science foundation (B.Tech, IIT Madras; top 1% in JEE Advanced 2021; 500+ problems solved on LeetCode/Codeforces), which shows in how I think about correctness, performance, and edge cases — not just whether code runs, but whether it holds up.
If your project needs solid backend architecture, a scalable API, or infrastructure that won't fall over under load, I can help.