Jonathan Mackrory
Data Scientist
Portland, Oregon, United States
Summary
👤
Senior🎓
Top SchoolJonathan Mackrory is a data scientist and machine learning engineer with 11 years of experience blending physics-driven research and production ML. He holds a PhD in Physics and has applied Monte Carlo, Bayesian, and GPU-accelerated simulation techniques to fundamental quantum optics problems, later translating that rigor into NLP, recommendation, and time-series systems in industry. At Talentpair he built and deployed candidate-job matching pipelines using classical and modern neural approaches (word2vec, CNNs, Transformers) and has continued applying those skills at Kin + Carta. Comfortable with low-level numerical code (Fortran, OpenCL) as well as TensorFlow-based production stacks, he brings a rare combination of experimental physics intuition and end-to-end ML engineering. Based in Portland, Oregon, he’s interested in roles where simulation-grade modeling and scalable ML meet to solve novel, high-impact problems.
11 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of OregonMaster's degree, Physics, Master's degree, Physics at University of AucklandGithub contributions (5)
jmackrory/PDSG_image_seg
Mar 2019 - Aug 2023
Contributions:18 pushes, 1 branch in 4 years 5 months
jmackrory/USElectricity
Jan 2017 - Jan 2021
Contributions:139 commits, 98 pushes, 7 branches in 4 years
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