Machine learning service that optimizes incentives for ecommerce…
Currently CEO at Bandit ML. Previously a senior machine learning engineer at Facebook AI and Uber. Expert in applied machine learning problems and author of several papers.
After designing a low-level fault-tolerant and space-hardened communication bus for plug-n-play experimentation on CubeSats, I cut my chops at Uber from 2014 to 2020. I built technology that indexed global geospatial data with minimal cell distortion in real-time for dynamic pricing. I designed and built a business-agnostic platform that reduced the time to launch a new line of business (e.g. UberElevate) from months to days.
Currently CTO @ Bandit ML, a machine learning API that makes decisions to optimize for long term metrics (e.g. ecommerce product recs that increase LTV). I'm a former tech lead at Twitter, where I built internal analytics services and supported ML engineers. Before that, I was an early engineer at tenXer, an engineering analytics startup that got acquired by Twitter.