I'm a Lead AI Developer and applied scientist working at the intersection of HCI and ML/LLMs. I own production AI systems end to end—pricing and decision engines, spatial/geometry models, retrieval pipelines and RAG, reusable AI components (embeddings, prompt templates, orchestration SDK), autonomous agents—and pair them with the rigorous mixed‑methods evaluation my research background trained me for.

At AnyTickets I own an autonomous pricing platform that, in a controlled A/B against the manual pricing baseline, reached higher sell-through and price realization while cutting margin loss by 7 points, rebuilt the company's canonical event catalog, and took automated venue seat-map ingestion from ~5% to ~95% coverage. Before that I delivered measurable impact across Meta, Roku, Walmart, and Argomai: cutting multipage document classification from ~90 min to <5 min, reducing weekly reporting from 6 hrs to <1 hr, shrinking survey analysis from ~30 hrs to <8 hrs, analyzing behavioral logs over 70M+ devices, and defining longitudinal KPIs for a 500M+ MAU product. My north star: rigor, practical impact, and systems that last.