AI engineer & developer advocate — applied ML, agent memory, and the craft of explaining it.

Machine learning practitioner with 13+ years bridging research, product development, and technical communication. Background spans medical AI (Nature Communications paper on gastric cancer detection), financial ML (credit risk modeling that outperformed FICO; wine asset pricing using collaborative filtering), and applied NLP / agent systems.

Combines deep ML hands-on experience with public speaking at major conferences (WAIC 2018, ICCV 2019), open-source contribution (MemFuse, Chat2Graph), and product-building experience as co-founder of multiple ventures. Equally comfortable writing production ML code, explaining technical concepts to non-technical audiences, and building developer-facing content.

Currently active on Threads (2,000+ followers, growing) in AI / agent memory niche.

Talk on network effects & startup cold-start: youtube.com/watch?v=BgjXVKvscVg