📍 Kerala, India  |  🛠️ Self-taught backend developer  |  🐘 PostgreSQL obsessive

Python FastAPI PostgreSQL Kafka Redis Docker AWS pgvector

Building backend systems and developer tools. I spend most of my time on databases, event pipelines, and observability, the parts that keep systems honest under load. I build tools to solve my own problems first, then clean them up and ship them.

Published on PyPI. Contributing to open source. Currently deep in event-driven architecture and AI-assisted developer tooling.

• Heron — Business event monitoring. Detects silent failures in payments, signups, and workflows. Pattern-based anomaly detection + real-time dashboard + Slack alerts. Python SDK on PyPI.

• SafeStream — Real-time fraud detection. Kafka ingestion, optimized PostgreSQL schema, WebSocket updates, full CI/CD. TDD from day one.

• Synqit — Git assistant in your terminal. Writes commit messages and PR descriptions. Built because writing them manually after every change gets old fast.

• DepWatch — Scans a GitHub repo, extracts the dependency tree, and health-scores each package. Useful when auditing repos you've inherited or haven't touched in a while.

Databases          PostgreSQL · Redis · MongoDB · pgvector
Backend            Python · FastAPI · Flask · Django · REST · WebSockets
Event systems      Kafka · Celery · async pipelines
AI / Search        RAG · Hugging Face · vector databases · NLP
Infrastructure     Docker · AWS · GitHub Actions · CI/CD

• Going deep on distributed systems and event-driven architecture
• Contributing to Pandas and ArviZ
• Writing about PostgreSQL, backend systems, and developer tooling
• Building in public — more tools in progress

I write about what I'm building and learning — database internals, observability, AI tooling, system design.

Open to backend engineering, AI infrastructure, and developer tooling roles — especially on teams that care about reliability and debuggability.

Make it work, make it fast, make it debuggable.