01
Product leadership
Set direction, prioritize the work and coach the people building it.
- Product strategy and discovery
- Cross-functional leadership and coaching
- Pricing, packaging and go-to-market
- P&L and investment decisions
Expertise
From product direction to working systems.
I work across leadership, product development and implementation, bringing each into the decisions that shape the other.
02
Hands-on product building
Turn ideas into interfaces, prototypes and products that can be used and improved.
- Interfaces and product experiences
- AI-assisted development
- Rapid prototyping
- API and tool integration
03
Applied AI
Connect models and tools to a clear workflow, then evaluate how the system performs.
- LLM integration and agents
- Model Context Protocol
- Evaluations and beta testing
- AI and data governance
04
Data products
Build the connection between data, a useful product and a commercial decision.
- Customer-intelligence platforms
- First-party audience products
- Predictive applications
- Data-backed product decisions
Practice
How I make decisions
I use discovery to understand the need behind a request. The next step might be a prototype, an internal build, a licensed capability or a partnership.
I test agents with evaluation datasets, predictive models against historical data, and products with beta groups. I also separate modeled benefits from confirmed results when discussing impact.
Technical practice
Tools I work with
The tools change. I choose them around the product and the problem.
Product & development
- React
- Python
- FastAPI
- Figma
- GitHub
- Terminal
AI & agents
- Claude Code
- Codex
- Cursor
- LLM integration
- Model Context Protocol
Data & platforms
- Supabase
- Snowflake
- Neo4j
- Looker
- AWS