I build production LLM systems — agents, RAG, and evaluation pipelines that hold up at scale.
AI Engineer focused on agentic workflows, agent memory architectures, and RAG systems processing 1B+ tokens/month in production.
- tokens/month in production
- 1B+
- hours/year saved
- 1,500+
- ARR growth contributed
- $800K+
§ 1
Where I've shipped
All experience →§ 2
Projects that show how I think
All work →graph-rcaAutomated root-cause reports with high-quality validation and easy deployment, reducing resolution time.permission-mongoDelivers a production-ready RBAC service with advanced features, monitoring, and SDK support.BetterBingImageDownloaderReliable, well-tested library with significant adoption, improving dataset creation workflows.
§ 3
From the notebook
All 50 entries →Let's build something reliable.
Available for full-time roles and select freelance projects. Based in Bangalore — open to remote.