About
I'm a software engineer focused on building reliable AI systems for enterprise environments — where reliability, governance, and predictability matter more than demos.
Path
Backend engineering → enterprise platforms → architecture → AI systems → agent architecture → production AI and governance in regulated industries.
Today that shows up as planner–orchestrator–validator patterns, MCP tool layers, RAG pipelines, human gateways, and eval-driven CI for AI.
Why regulated industries
Financial and regulated environments expose the real engineering challenges of AI: trust, security, governance, auditability, data access, reliability, and human control. That is where production AI is actually hard — not in getting a model to answer a question once.
What I build
- Enterprise AI — systems that operate inside real enterprise constraints.
- Agent systems — orchestration, tools, MCP, RAG, validation.
- Reliable AI — security, governance, observability, deterministic control.
Vice President at BNY, Pune. Previously Saama (clinical data platforms) and enterprise API work (PSD2).