Edward Szczepanski
Quantitative Research Engineer
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolEdward Szczepanski is a quantitative research engineer in New York with 10 years of experience building machine learning infrastructure and data systems for high-impact products, from Google Maps and Gmail to Waymo’s self-driving stack and Citadel’s Statistical Learning alpha team. He combines hands-on software engineering with applied ML systems expertise, shipping production data pipelines and tooling that power research-to-production workflows in both autonomous vehicles and quantitative finance. At Citadel he focuses on statistical learning for Global Quantitative Strategies, leveraging a background in large-scale ML platform work at Waymo to bridge research needs and reliable infra. A University of Oregon computer science and math graduate who consistently earned top grades, he brings a rigorous, data-driven mindset and a track record of contributing to complex, safety- and performance-critical systems. Notably, his career blends product-grade backend engineering with deep ML systems experience—an unusual mix that speeds experimental iteration without sacrificing production robustness.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science (B.Sc.), Computer Science, Math Minor, 4.0 GPA, Bachelor of Science (B.Sc.), Computer Science, Math Minor, 4.0 GPA at University of OregonHigh School Diploma, 4.0 GPA, High School Diploma, 4.0 GPA at Wilson High School
English
Github Skills (8)
spring3
spring-boot3
java3
blockchain3
rapid3
monitoring2
python1
cli1
Programming languages (1)
Github contributions (5)
edwardszczepanski/OSNAP
Jan 2017 - Mar 2017
Contributions:47 PRs, 96 pushes, 7 branches in 2 months
edwardszczepanski/PeelPal
Feb 2017 - Mar 2017
Contributions:80 PRs, 68 pushes, 3 branches in 1 month
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