Alexandra Zytek
Research Engineer at Sierra
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAlexandra 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.
11 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 TechnologyBachelor’s Degree, Computer Science and Cognitive Science, Bachelor’s Degree, Computer Science and Cognitive Science at Rensselaer Polytechnic Institute
English, Polish
Github Skills (33)
xai10
python10
machine-learning10
mlmodel10
benchmark9
ai8
llm7
conversational-agents7
data-science6
deep-learning6
visualization6
rendering6
unsupervised-learning5
generative-adversarial-network5
benchmarking5
Programming languages (9)
Github contributions (5)
sibyl-dev/pyreal
Apr 2020 - Jan 2023
An easier approach to using and understanding ML models
Contributions:14 releases, 52 reviews, 701 commits in 2 years 9 months
mlmodelmachine-learningpythonxaiexplainable-ai
sibyl-dev/sibylapp2
May 2023 - Nov 2024
Configurable front-end for augmenting ML model outputs
Contributions:34 reviews, 108 PRs, 282 pushes in 1 year 6 months
frontendmlmodel
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