For the last four years I've led AI platform engineering at
JPMorgan Chase. My team built the multi-agent orchestration layer
that several thousand employees use daily. We also wrote the
hybrid RAG pipeline behind internal search and the MCP servers
that connect Claude to internal APIs.
Before JPMC I spent two years on React and Next.js work at Earth
Designs and two years running IT operations at PPS Capital. Nine
years of production engineering total, four of them shipping AI
in a regulated enterprise.
My focus right now is the boring infrastructure under agentic AI:
evaluation pipelines that catch regressions before users notice,
agents that fail safely when the model misfires. The stuff that
rarely gets demoed but always decides whether the system holds up
in production. I'm looking for what comes next.