I've spent the last few years building the data and ML systems at Kiva from analytics through to production GenAI systems. I work across the stack -- recommendation systems & search relevance, A/B experimentation, LLM infrastructure, agent frameworks, ML Ops & orchestration, and the data plumbing underneath all of it.
Currently exploring: production LLM evaluation, AI agents for knowledge management + data analysis + evolutionary code/algorithm dev, and how small/mid-sized orgs actually adopt AI without burning a bunch of cash.