Jamis Johnson
Machine Learning Engineer at Wavelet Health
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolJamis Johnson is a Machine Learning Engineer in New York with 14 years of software experience, blending deep learning expertise and a long-standing fascination with cryptocurrency. He currently develops LSTM-based exercise classification models for wearable sensor data at Wavelet Health, after building backend APIs, mobile apps, and even founding and exiting a consumer startup. With an MS in Computer Science (Machine Learning) from Columbia and a BS in CS & Applied Math from Utah, he moves comfortably between research-grade models and production systems. Jamis has a knack for shipping end-to-end products that bridge hardware and software—from smartphone bioengineering accessories to scalable SMS infrastructure—and keeps an active technical presence through his website and GitHub.
14 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science - Machine Learning, Master of Science - MS, Computer Science - Machine Learning at Columbia University in the City of New YorkThe University of Utah
Github Skills (77)
python10
statistics10
data-science10
data-analysis10
machine-learning10
scikit9
redis-client9
redis-streams9
redistimeseries9
deep-learning9
node-redis9
redis9
pytorch9
scikit-learn9
redis-cluster9
Programming languages (10)
Github contributions (5)
jamiis/ImProc_iOSApp
Jan 2012 - Dec 2013
Contributions:11 commits in 1 year 10 months
jamiis/movie-explorer
Jan 2015 - Aug 2015
Contributions:35 commits, 19 pushes in 7 months
exploremusic-discoverydiscoverybrowsingrelationship
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