Kevin Golan
AI Scientist III at Charles River Analytics
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolKevin Golan is an AI Scientist III based in Cambridge with eight years of experience applying machine learning to real-world problems, from federated and continual learning research to production computer vision pipelines. Trained at ETH Zürich and Manchester, he bridges academic rigor and practical impact—his PV panel glare detection and anomaly models were integrated into production to cut costs and accelerate inspections. At Charles River Analytics he advances human-AI interaction work, building on internships that explored federated learning in non-i.i.d. settings and reinforcement-based fuzzing for security testing. Describing himself modestly as an "imperfect student," he combines curiosity-driven research with a track record of shipping deployable ML solutions.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering - BEng, Electrical and Electronics Engineering, Bachelor of Engineering - BEng, Electrical and Electronics Engineering at The University of ManchesterMaster of Science - MS, EEIT - Signal Processing and Machine Learning, Master of Science - MS, EEIT - Signal Processing and Machine Learning at ETH ZürichInternational Baccalaureate, International Baccalaureate at International School of Brussels
English, French, Hebrew, German
Github Skills (53)
visual-recognition9
bayesian8
face-recognition8
segmentation8
density-estimation7
computer-vision7
face-detection7
symbolic-regression6
object-detection6
julia6
bayesian-inference6
deep-learning6
api6
probabilistic6
evolutionary-algorithms6
Programming languages (3)
Github contributions (5)
KevinG1002/Thesis
Oct 2022 - Feb 2023
Contributions:147 commits, 10 PRs, 79 pushes in 3 months
KevinG1002/End_of_Studies_Project_EEE
Apr 2019 - Nov 2019
Contributions:15 pushes, 1 branch in 7 months
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