One identity platform for five products
OAuth 2.0 / OIDC provider, 29 endpoints, SSO on day one.
Senior engineer for the backend behind AI products: identity, data pipelines, realtime agents, and the deployment that keeps them alive.
↓ scroll. scattered signals wire themselves into a network
APIs and data layers that hold under real load.
LLM features wired into production, not demos.
OAuth 2.0 / OIDC providers and SSO, built from scratch.
Pipelines, search, and the Kubernetes that runs them.
OAuth 2.0 / OIDC provider, 29 endpoints, SSO on day one.
Two bug fixes and one ranking feature, reviewed upstream.
Open-source MCP server, 19 languages via tree-sitter.
Barge-in handling, worker prewarming, graceful time limits.
Airflow and PySpark into pgvector and Typesense, on GKE.
10xScale.ai
Identity platform, realtime agent infrastructure, GKE deployment.
10xScale.ai
ETL at scale, hybrid search, upstream C++ into Typesense.
Government Arts College, Coimbatore
Most engineers have one. My systems ship because I work in the overlap.
Two engagement models, one standard of work. Choose the fit for your team.
Senior backend, platform, or AI infrastructure. Long-term ownership.
A defined problem, solved and deployed on your infrastructure.
Tell me what's breaking, or what you're building. I reply within a day.