Alex Ustian
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolAlex Ustian is a data scientist with nine years of experience applying mathematical and computational techniques to design, prototype, and productionalize data-driven products. He helped build and ship core features at Datadog—most notably anomaly detection, forecasting, and the Watchdog automated algorithmic detection system—and led cloud cost optimization efforts that translated models into measurable savings. Earlier at Capital One Labs he drove transaction-cleansing systems and served as data science and tech lead for novel model development from prototype to production. Trained as a mathematician with a PhD from Ohio State and research stints at ETH Zurich and the Independent University of Moscow, he blends deep theoretical rigor with hands-on engineering. Based in New York, he thrives at the intersection of research and product, favoring solutions that move quickly from ideas to operational impact. An understated strength is his track record of cross-functional leadership—working closely with backend, frontend, design, and product teams to ship reliable, scalable systems.
9 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at The Ohio State University
Github Skills (3)
hugo10
datadog10
documentation9
Programming languages (1)
Github contributions (2)
austian/SynthText
May 2021 - May 2021
Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.
Contributions:1 push in 1 day
syntheticlocalisationnaturalcvprnatural-images
DataDog/documentation
Aug 2016 - Aug 2016
The source for Datadog's documentation site.
Contributions:3 commits, 1 PR, 2 pushes in 1 day
wikihugodatadogdocumentation-site
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