I'm a hands-on senior engineering leader with 20+ years designing, founding, and scaling distributed systems, most recently in AI agent-platform architecture. A pattern repeats across my career: I'm usually the one who takes a system from zero to one and then stays to scale it under real production load — I've done it three times now, across three different companies.

I currently lead engineering for an AI-native, multifamily property-management platform, where I've directed the AI agent stack through three architectural generations — from hand-rolled orchestration to a modern cloud-managed agent framework — alongside the platform's multi-tenant, event-driven core and the reliability/evaluation layer most AI products skip. I also built and run the team delivering it, scaling it to 15 engineers.

Earlier, two more of these 0-to-1 builds came before this: a financial-reporting pipeline at Compass, and a financial election-processing product at IHS Markit that I later scaled to support 500k eligible investor accounts at peak election windows, plus institutional bulk submissions across up to 35k accounts per request. In between, at Paytm, I drove deep performance engineering across a four-datastore stack handling 10 million orders a day.

I'm open to hands-on contract engagements in AI/agent-platform architecture and backend/distributed-systems engineering.