Ross Cheung
Senior Scientist at Insight M
Los Angeles Metropolitan Area United States
Summary
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Senior🎓
Top SchoolRoss Cheung is a senior scientist and machine learning engineer with nine years of experience building production-ready ML, computer vision, and data infrastructure solutions across startups, government, and academia. With a PhD in Atmospheric and Oceanic Sciences from UCLA and a BS in Mathematical and Computational Sciences from Stanford, he blends rigorous inverse modeling and physical simulation expertise with hands-on deep learning and algorithm development. He has led projects ranging from real-time Azure-based IoT air quality pipelines and MySQL-backed sensor networks handling millions of measurements per day to LIDAR and spectrometer computer vision solutions for novel sensing applications. Ross is comfortable taking projects from research-grade models to deployable systems—writing Python automation (including Selenium bots), data pipelines, and error analysis tools—and has a track record of extracting 2–3× more information from spectroscopic datasets than prior approaches. A US citizen based in Los Angeles, he’s equally at home collaborating with startups to deliver NLP and CV improvements as he is designing scientific retrieval algorithms for environmental monitoring.
9 years of coding experience
12 years of employment as a software developer
University of California, Los AngelesBachelor of Science (B.S.) Mathematical and Computational Sciences, Bachelor of Science (B.S.) Mathematical and Computational Sciences at Stanford UniversityProgramming languages (1)
Github contributions (5)
craobhruadh/30-day-Leetcode-Challenge
Apr 2020 - Oct 2020
Contributions:57 commits, 56 pushes, 1 branch in 6 months
craobhruadh/Reinforcement_Learning
Sep 2020 - Jan 2021
Contributions:30 commits, 29 pushes, 1 branch in 4 months
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