Engineering and Innovation Labs Advisor
In 2019, I joined the Labs team headed by the former CEO to build experimental products based off of Foursquare’s location technology. I built the server stack and provided product leadership for Marsbot for Airpods, which plays sounds at the precise moment users walk by certain locations.
Machine Learning Engineer
My work at Foursquare included the core recommendation algorithm, internationalization, sentiment analysis, natural language processing, tip ranking, statistical voting algorithms, and ad attribution. I built the first version of venue ratings in 2012, which is based on a machine learning algorithm I wrote and deployed myself. In 2013, I kicked off Foursquare’s NLP pipeline, and contributed to Foursquare’s taste graph. In 2015, I began work as the technical architect of Marsbot, a new place recommendation system with a natural language interface. In addition to the technical design, I worked closely with the product and executive teams to define where Marsbot fits in our app ecosystem and in the marketplace. In 2017 I formulated and developed Foursquare’s proprietary attribution algorithm, which used a causality model to calculate ad effectiveness at getting customers into real world locations. It launched in 2018. In addition to technical leadership, I was also involved in training the sales team. According to leading members of the Foursquare management team, this effort contributed to negotiations in Foursquare’s $150M acquisition of Placed in 2019.
Adjunct Instructor
Official LinkedIn page of New York University
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