Product work, systems, and writing
I've spent 11+ years in product, including 3+ shipping AI. Led $1B+ device-financing platform in 18 live markets, brought LLM search to Galaxy phones, drove experimentation culture and built the evaluation loops that keep AI features honest after launch. My experience spans across consumer, fintech and B2B SaaS domains.
Notes from the work
The companies pulling ahead are not waiting on a smarter model. They noticed the bottleneck was never the model — and that since they fixed it, it has moved twice more. Read more: The Bottleneck Was Never the Model — And It Just Moved
How we structure context across short-term reasoning and long-term storage in agentic loops. Defining the boundaries between RAG, vector stores, and persistent world Read more: Agentic Memory Taxonomy
Reinforcement Learning from Human Feedback isn't just a technical training phase; it's the new "User Research". How to structure human feedback loops to align agentic Read more: RLHF for Product Managers
Every agent turn adds milliseconds. In a multi-agent system, this "Latency Tax" compounds, destroying user experience. How to build async pipelines that hide the wait. Read more: The Latency Tax in Multi-Agent Systems
In progress
A meal generator that explores how small models handle hyperlocal preference.
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