Sagar Saxena
Software Engineer at Stripe
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolSagar Saxena is a software engineer with nine years of hands-on experience and current MS studies in Computer Science at the University of Maryland, now based in Seattle and working at Stripe. He blends production engineering—shipping cross-language systems at Stripe and building a React migration dashboard—with research expertise in deep learning, reinforcement learning, and computer vision from multiple UMD research projects. Sagar has a strong testing and QA background demonstrated by notable contributions to Capital One’s open-source DataProfiler, where he improved test coverage and validation for data profiling components. He also has applied ML in production settings at Amazon (end-to-end recommender) and in incubator projects (anomaly detection and data pipelines), showing comfort across AWS, Python, and DevOps tools. Comfortable mentoring and teaching, he has led course facilitation and peer-mentoring roles that combined curriculum design with team-based DevOps instruction. As a U.S. citizen eligible for clearance, he pairs research curiosity with practical delivery on scalable, data-driven systems.
9 years of coding experience
4 years of employment as a software developer
Advanced High School Diploma, Computer Science, Advanced High School Diploma, Computer Science at Thomas Jefferson High School for Science and TechnologyMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Maryland
Hindi, English
Github Skills (7)
unit-testing10
unit-test10
python10
data-profiling10
test-automation10
data-validation9
csv9
Programming languages (9)
Github contributions (5)
capitalone/DataProfiler
Mar 2021 - Apr 2021
What's in your data? Extract schema, statistics and entities from datasets
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:106 reviews, 10 commits, 10 PRs in 1 month
Contributions summary:Sagar's commits primarily focus on writing and enhancing tests for the `dataprofiler` library. The user added tests for several components, including `BaseOption`, `BooleanOption`, `BaseColumnOptions`, and various numerical, int, float, text and data labeler options, indicating a focus on ensuring the quality and correctness of the profiling functionalities. Furthermore, the user implemented test cases for CSV data validation and save/load functionalities. These contributions suggest a strong emphasis on comprehensive testing and validation within the project.
csvpythondatanpistatistics
sagars729/cmsc388T-web-template
Jan 2021 - Mar 2023
Template for CMSC388T Project 3/Lecture 9 Website
Contributions:1 review, 1 PR, 8 pushes in 2 years 3 months
template
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