From restaurants to late nights teaching myself to code. From entry-level developer to VP of Product at JPMorgan. From automating tedious tasks with Python to shrinking my work with LLMs. Now building AI-native applications for real problems. Not fully product, not fully engineering; an ambitious balance of both.
A permission-aware context layer that turns an organization’s communications into structured, persistent memory — served to both the people and the agents doing the work.
A custom TypeScript MCP orchestrator. The agents are stateless — they coordinate only through a shared handoff file, so the build moves from spec to commit without me pasting between tools.
Moving from one-agent-straight-to-main to a proper branch-and-review flow for agent-built code.
Catching myself building two things at once — the product and the platform to build it — and choosing user validation over architecture.
The thesis behind Ambito: why an organization's unified context layer becomes its own product category.
I’m moving into an AI-native product role this year. If that’s the kind of person you’re hiring — or building with — reach out.
Get in touch