Derek Gloudemans
Research Assistant at Vanderbilt University
Nashville-Davidson, Tennessee, United States
Summary
👤
Senior🎓
Top SchoolDerek Gloudemans is a research-focused software engineer with eight years of experience building large-scale computer vision and machine learning systems, recently completing a PhD at Vanderbilt University. He led development of one of the world’s largest multi-camera vehicle-tracking platforms and ran the largest traffic experiment to date, applying data-driven optimizations to transportation and energy problems. At Vanderbilt’s Work Research Group he has engineered fast, accurate multi-object detection and tracking pipelines and previously built low-cost fault diagnosis models for locomotive motors with state-of-the-art accuracy. Derek combines rigorous research with practical implementation—writing production-ready preprocessing, feature-reduction, and multi-label classification code—and enjoys tackling cross-disciplinary challenges that produce equitable, globally beneficial solutions.
8 years of coding experience
1 year of employment as a software developer
Bachelor’s Degree, Bachelor’s Degree at Vanderbilt University
Spanish, English
Github Skills (61)
image-processing10
computer-vision10
python9
bounding9
opencv9
deep-learning9
gpu8
machine-learning8
infinity7
alpha-beta7
neural-network6
bayesian6
least-squares6
tensorflow6
kalman6
Programming languages (6)
Github contributions (5)
DerekGloudemans/CV-detection
May 2019 - Mar 2020
Contributions:112 commits, 13 pushes in 10 months
DerekGloudemans/crop-tracking-detrac
Dec 2020 - Oct 2021
Contributions:24 commits, 3 pushes, 1 branch in 10 months
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