Product Management | AI, ML | entrepreneur | product/market fit & shipping AI-powered applications | building ML models for fun | Stanford, Harvard, MIT
* Pioneered innovative algorithm enhancing relevance of Google’s results, with real users, up to 40%.
* Steered engineering in development of browser extensions, downloaded 12m times, reaching 5m DAUs.
* Supervised construction of backend systems that processed 7b queries, reaching over 12m a day.
* Developed scripts in R and Ruby for data analysis, simulations, permutation analysis and sequential probability ratio hypothesis testing.
* Built revenue from zero to 11 consecutive quarters of profitability.
* Published papers: “Demonstration of Improved Search Result Relevancy Using Real-Time Implicit Relevance Feedback,” (SIGIR) and “Understanding How People Interact with Web Search Results that Change in Real-Time Using Implicit Feedback” (CIKM).
* Awarded patents: “Dynamic search engine results employing user behavior” (US8095582), “Adaptive user interface for real-time search relevance feedback” (US8117197) and “Real time implicit user modeling for personalized search” (US8442973).
