Adrian Henle
Machine Learning Engineer at University of Washington
Corvallis, Oregon, United States
Summary
👤
Senior🎓
Top SchoolAdrian Henle is a Machine Learning Engineer with a decade of experience building production-ready AI systems that bridge research and real-world impact. He holds a PhD in Chemical Engineering and began his career applying ML to human olfaction, later translating that scientific rigor into scalable GenAI and agentic solutions for industry and academia. Adrian has designed and deployed cloud-native, RAG-enabled full-stack applications and production generative assistants optimized for reliability, security, and scalability. His background includes patented hardware and materials innovations for defense, plus published ML work using graph neural networks and LLMs for scientific discovery. As a lecturer at the University of Washington, he modernized curricula to emphasize production-quality coding and agile workflows, reflecting his dual strengths in teaching and engineering. He thrives on taking prototypes to production, especially when projects combine deep science with agentic or generative AI.
10 years of coding experience
4 years of employment as a software developer
Master of Science (M.S.), Chemistry, Master of Science (M.S.), Chemistry at University of OregonBachelor of Science (B.S.), Chemistry, Bachelor of Science (B.S.), Chemistry at Seattle UniversityPhD, Chemical Engineering, PhD, Chemical Engineering at Oregon State University
German, English
Github Skills (111)
find-and-replace10
refined10
editor10
science10
julia10
electron10
typescript10
matching10
programming-language9
visual-studio9
microsoft9
visual-studio-code9
machine-learning9
hpc9
gulp-plugin9
Programming languages (9)
Github contributions (5)
eahenle/EpitaxialDeposition.jl
Feb 2022 - Mar 2022
Contributions:67 commits, 14 PRs, 42 pushes in 25 days
SimonEnsemble/XtalsPyTools.jl
Nov 2021 - Oct 2022
Contributions:2 releases, 39 commits, 16 PRs in 11 months
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