Wes Barnett
Machine Learning Engineer
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolWes Barnett is a Machine Learning Engineer with 11 years of experience building end-to-end ML products and MLOps solutions using Python, SQL, and Docker, grounded in strong statistical and engineering foundations. He holds a PhD in Chemical and Biomolecular Engineering from Tulane and complements his technical training with a Master of Divinity, reflecting an unusual blend of rigorous research and human-centered perspective. Comfortable moving models from prototype to production, Wes has worked across academia and industry to translate complex data into actionable business outcomes. Based in the New York City area, he brings deep analytical rigor and systems thinking to ML engineering challenges, with a particular interest in making robust, reproducible pipelines that scale.
12 years of coding experience
Master of Divinity - MDiv, 4.00/4.00, Master of Divinity - MDiv, 4.00/4.00 at New Orleans Baptist Theological SeminaryDoctor of Philosophy - PhD, Chemical and Biomolecular Engineering, 3.94/4.00, Doctor of Philosophy - PhD, Chemical and Biomolecular Engineering, 3.94/4.00 at Tulane UniversityBachelor of Science - BS, Mechanical Engineering, 3.78/4.00, Bachelor of Science - BS, Mechanical Engineering, 3.78/4.00 at Mississippi State University
Github Skills (118)
btrfs10
python10
bash10
backup10
gtk10
qt10
pandas10
statistics10
data-visualization10
shell10
data-science10
information-retrieval10
data-structure10
pacman10
data-analysis10
Programming languages (12)
Github contributions (5)
wesbarnett/libgmxfort
Mar 2017 - Oct 2020
Modern Fortran toolkit for analyzing GROMACS simulations
Contributions:13 releases, 19 commits, 112 pushes in 3 years 7 months
fortrangromacsxtc
wesbarnett/blog
May 2020 - Feb 2021
Contributions:2 PRs, 186 pushes, 4 branches in 9 months
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