Building AI agents and infrastructure that enable Coinbase to be AI-native and make every employee a builder. Tapped by executives to develop a strategy and vision for AI at Coinbase, now leading a 40 member product and engineering, team across multiple pods, building no/low-code and high-code agent platforms and 0 → 1 agentic applications for Finance, Legal, Compliance, Finance, Customer Support, Growth, and Operations teams. Cumulative impact of $XXM delivered through significant cost reductions, productivity improvements, and top-line revenue with innovative user-facing experiences. I also lead initiatives to optimize how we attract and hire top PM talent.

Built zero-to-one recommendations system to several more domains throughout the company (asset ranking, feeds, notifications) and led the ideation and execution of an AI infra revamp to leverage leading third-party solutions for data processing, training, serving, model lifecycle, and observability. Expanded scope to include AI solutions for new Risk-related domains, such as Compliance.

Tapped to lead key workstreams as parts of department-wide "Code Yellows" for cost reductions, restrictions, and more.

Hired a team of PMs to lead areas I oversaw and coached / mentored others throughout the company. Led key initiatives focused on attracting top PM talent.

I led key pillars of Coinbase's AI team, including the zero-to-one development of ML models for Risk (Fraud and Trust and Safety) and ML Platform (Data Processing, Training, Serving, ML Ops). Also launched our MVP recommendations system, first powering notifications before later expanding into other domains.

Providing advisory and due-diligence services for portfolio companies and prospective early-stage investments within the AI / ML, Enterprise, Fintech, and Crypto industries.