Nathan Zorndorf
Machine Learning Engineer
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolNathan Zorndorf is a Machine Learning Engineer in the San Francisco Bay Area with nine years of hands-on experience bridging embedded firmware and data science. Trained in Electrical Engineering (DSP) at Cal Poly and with a Data Science Immersive from General Assembly, he built firmware and UIs for novel hardware products like K-Mix and a smart-fabric DAQ before pivoting into ML and analytics. He combines low-level systems thinking with applied data modeling to turn qualitative product questions into quantitative insights, and is drawn to projects at the intersection of AI, sustainability, and health. Recently returned from a gap year volunteering in Europe, he pairs technical rigor with creative pursuits—lindy hop, didgeridoo, and music—that inform a collaborative, multidisciplinary approach to problem solving.
9 years of coding experience
Data Science Immersive, Data Science, Data Science Immersive, Data Science at General AssemblyCalifornia Polytechnic State University, San Luis Obispo
English, Finnish
Github Skills (24)
keras8
recall8
notebook7
gaussian-processes7
recommender-system7
natural-language-processing7
ebay-api7
computer-vision7
kaggle7
deep-learning6
gluon6
machine-learning6
python6
pytorch6
reinforcement-learning6
Programming languages (1)
Github contributions (5)
NathanZorndorf/nathanzorndorf.github.io
Sep 2020 - Sep 2023
Contributions:56 pushes, 2 branches in 3 years
NathanZorndorf/ebay-price-predictor
Mar 2017 - Apr 2017
Contributions:32 commits, 31 pushes, 1 branch in 1 month
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