Building AI systems that actually ship
I got hooked on AI the day I realized you could teach a machine to understand a sustainability question and answer it instantly from a MongoDB database — no analyst required. That was my ESG chatbot, and it's now serving 10+ organizations.
Since then, I've been obsessed with building multi-agent systems that work in production — not just demos. Currently at Planet Sustech, where I'm building LLM pipelines that have cut manual ESG analysis time by 70%. Every system I ship is one I'd stake my name on.
Expertise & Services
AI/LLM Engineering
Multi-agent orchestration, RAG pipelines, intent routing, and production LLM applications that handle real load — not just demos. Built systems processing 1K+ queries/day with 95%+ accuracy.
Backend Engineering
Scalable REST and event-driven APIs, real-time systems with WebSocket/SSE, and database design across SQL and NoSQL. Built for correctness, not just speed.
Full-Stack Development
End-to-end product development from server-side APIs to React/Next.js frontends. Shipped 3 production apps with real users from scratch.
Cloud & DevOps
AWS-native deployments using Lambda, Cognito, SES, SNS, and EC2. Containerised services with Docker and automated CI/CD pipelines via GitHub Actions.
Career Timeline
Started B.Tech
Began Computer Science degree at IPS College
First Job
Joined Antino Labs as Associate Software Developer
Backend Developer
Moved to Planet Sustech, focusing on LLM systems
Building the Future
Creating production AI systems with multi-agent workflows
Started B.Tech
Began Computer Science degree at IPS College
First Job
Joined Antino Labs as Associate Software Developer
Backend Developer
Moved to Planet Sustech, focusing on LLM systems
Building the Future
Creating production AI systems with multi-agent workflows