I’m an AI Product Manager with 5+ years of experience who’s built and scaled data-heavy products in fintech and enterprise AI. I’ve worked across 0→1 and 1→n journeys—from merchant onboarding, risk controls, and internal ops platforms, to agentic/ LLM-powered systems that combine structured + unstructured data. Alongside product, I’m deeply interested in AI governance & safety, especially the ways powerful AI can shift societal outcomes and create real tail risks. That’s what keeps me motivated to build AI systems that are auditable, controllable, and aligned with real incentives (not just “policy on paper”). I’m also an AI Governance Research Fellow with the Cambridge AI Safety Hub, where I’m researching compute governance and export-control enforcement for advanced AI chips. I love the intersection of systems thinking + product execution + safety-by-design. I mentor folks who want to break into PM, strengthen product thinking, and ship features that are usable and measurable. My style is practical and structured: we’ll clarify your goal, identify the fastest leverage points, and turn that into concrete outputs like PRDs, portfolios, interview stories, GTM narratives, and execution plans. I can help you with: - PM transition strategy (resume, LinkedIn, portfolio positioning) - PRDs for AI features (copilots, agents, RAG) + evals/guardrails - Enterprise AI / semantic layer basics (data modeling, metric definitions, workflow design) - Interview prep (product sense, execution, and AI tradeoffs) - Fintech product & risk-thinking (fraud, onboarding, governance workflows) - AI Safety & Governance My sessions are collaborative and output-focused, you’ll leave with a plan, a draft, a framework, or a decision :)