Alexandra Zytek is a research engineer with a decade of experience applying ML and human-centered AI to high-stakes decision-making, currently working at Sierra after a research fellowship and a multi-year PhD stint at MIT’s Data to AI Lab. She builds open-source systems that improve the usability and real-world evaluation of AI models, bridging rigorous academic research with practical deployment in industry settings like Disney Streaming and Facebook. Comfortable in both research and engineering roles, she has a track record of shipping evaluated tools and collaborating across product and research teams. Based in San Francisco, Alexandra combines a dual background in computer science and cognitive science with hands-on software engineering experience from early internships in aerospace and defense, giving her a rare interdisciplinary perspective on trustworthy AI.
10 years of coding experience
8 years of employment as a software developer
PhD and Master of Science (SM), Computer Science, PhD and Master of Science (SM), Computer Science at Massachusetts Institute of Technology
Bachelor’s Degree, Computer Science and Cognitive Science, Bachelor’s Degree, Computer Science and Cognitive Science at Rensselaer Polytechnic Institute
Configurable front-end for augmenting ML model outputs
Contributions:34 reviews, 108 PRs, 282 pushes in 1 year 6 months
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