Noah Young
Senior Machine Learning Engineer at Mashgin
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolNoah Young is a Senior Machine Learning Engineer in Palo Alto with 14 years of experience building vision AI, optics, and optimization systems for robotics and life-science applications. He blends deep learning for computer vision with optical and signal-processing expertise developed across academia (Stanford, Deisseroth Lab) and industry, shipping edge-ready object recognition, pose estimation, and anomaly detection for robotics and POS systems. His recent work spans point-of-sale deep-vision at Mashgin and neuropsychiatric drug-screening pipelines using organoid imaging at Herophilus, showing a rare ability to translate cutting-edge microscopy methods into robust production models. Noah’s background in bioengineering and applied math underpins a practical focus on inverse problems, sensor calibration, and optical design—skills he’s applied from continuous glucose monitors to patient-specific surgical implants. He’s comfortable operating at the intersection of research and product, moving prototypes from lab-grade proofs to deployable, low-latency systems at the edge.
14 years of coding experience
10 years of employment as a software developer
Johns Hopkins UniversityMaster of Science (M.S.), Bioengineering, Master of Science (M.S.), Bioengineering at Stanford University
Github Skills (122)
parallel10
python10
ipython10
deep-learning10
optimization10
audio10
nlp10
memoization10
jupyter10
volume-rendering10
reinforcement-learning10
jupyterlab-extension10
natural-language-processing10
caching10
pytorch10
Programming languages (10)
Github contributions (5)
npyoung/kOS-scripts
Jun 2016 - May 2020
Contributions:47 commits, 16 pushes, 1 branch in 3 years 11 months
deisseroth-lab/multifiber
Jun 2015 - Oct 2017
A GUI and library for doing multi-fiber photometry
Contributions:74 commits, 38 pushes, 5 branches in 2 years 3 months
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