Stephen Kaplan
Senior Software Engineer, ML Core at Splice
Denver, Colorado, United States
Summary
👤
Senior🎓
Top SchoolStephen Kaplan is a Senior Software Engineer specializing in machine learning with a decade of experience applying ML to real-world products, currently building ML Core at Splice where he blends music production know-how with production ML. He previously led ML efforts at SkySpecs and Skillshare and earlier cut his teeth in performance and prediction engineering at First Solar, giving him a strong background in deploying reliable models across domains from renewable energy to edtech. Trained in mechanical and nuclear engineering at UC Berkeley and upskilled in data science through Metis, he pairs rigorous engineering fundamentals with practical ML tooling. Known for translating domain expertise into robust ML systems, he brings a musician’s sensitivity for signal and nuance to problems like audio and predictive modeling.
10 years of coding experience
9 years of employment as a software developer
B.S. Joint Major in Mechanical and Nuclear Engineering, B.S. Joint Major in Mechanical and Nuclear Engineering at University of California, BerkeleyData Science & Machine Learning, Data Science & Machine Learning at Metis
Github Skills (24)
simulation10
python10
energy10
documented10
renewable-energy10
solar-energy10
photovoltaic10
popularity9
recommender7
metis7
spotify5
science5
audio5
recommender-system4
classification4
Programming languages (2)
Github contributions (5)
stephenjkaplan/song-popularity-predictor
Jul 2020 - Sep 2020
Predicting Spotify song popularity scores with Spotify audio features dataset.
Contributions:23 commits, 19 pushes, 1 branch in 2 months
songdatasetscoresspotifypopularity
stephenjkaplan/stephenjkaplan.github.io
Jul 2020 - Jul 2021
Contributions:93 pushes, 1 branch in 1 year
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.