Software Engineer
SigOpt

Alexandra is a software engineer at SigOpt, an SF-based Bayesian Optimization as a service startup. She believes that machine learning will become more and more accessible over the coming years, and she strives to build products that make the state of the art in machine learning effortless to use. Alexandra is an active member of the Machine Learning community in San Francisco, and has given tech talks about hyperparameter optimization at meetups and conferences in both San Francisco and New York. Previously, she worked on recommender systems at Polyvore, Rent the Runway, and Facebook. She holds a bachelor's degree in computer science from Carnegie Mellon University.