James Sharpnack
Senior Staff Machine Learning Engineer at Lovelace AI
Pittsburgh, Pennsylvania, United States
Summary
🤩
Rockstar🎓
Top SchoolJames Sharpnack is a Senior Staff Machine Learning Engineer with a decade of experience building applied ML systems across industry and academia, currently leading at Lovelace AI after AI leadership roles at Duolingo. He combines deep theoretical training (PhD in Machine Learning and Statistics from Carnegie Mellon) with practical product impact—driving monetization and automated test scoring at Duolingo and developing anomaly-detection research during postdoctoral work. His background spans roles from research actuary internships to senior applied science at Amazon and a faculty track at UC Davis, giving him a rare mix of production ML, statistical rigor, and teaching experience. Based in Pittsburgh, he focuses on turning sophisticated statistical ideas into robust, scalable ML solutions and often works at the intersection of research and real-world deployment.
10 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy (PhD) Machine Learning and Statistics, Doctor of Philosophy (PhD) Machine Learning and Statistics at Carnegie Mellon UniversityBS Mathematics and Physics, BS Mathematics and Physics at The Ohio State University
Github Skills (43)
pytorch10
python10
corona10
data-science10
image-classification10
incremental-learning10
meta-learning10
mxnet10
machine-learning10
time-series10
gluon10
bootstrapping10
mlp10
ensemble-learning10
forecasting10
Programming languages (3)
Github contributions (5)
jsharpna/jsharpna.github.io
Jun 2016 - Jan 2019
Contributions:116 pushes, 1 branch in 2 years 7 months
jsharpna/AML
Jan 2019 - Mar 2019
Contributions:31 commits, 25 pushes, 1 branch in 2 months
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