I consider myself a full-stack data science leader, machine learning system engineer, deep learning researcher, wild-eyed hacker, quant trader, and entrepreneur, roughly in that order.
My research interests lie in the intersection of deep learning training dynamics and traditional algorithmic speedup techniques.
My trading past includes a fairly sordid time trading FX forwards and swaps at an infamous bulge-bracket investment bank in NYC, as well as some exciting times prop trading equity index derivatives during the Great Financial Crisis. In fact, the Financial Times wrote a pretty cool article about my life as a prop trader.
I have built multiple startups and will hopefully one day have a successful exit.