James Kunstle
Research Fellow at Fred Hutch
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolJames Kunstle is a machine learning engineer and research fellow with six years of experience building and scaling LLM and AI systems across industry and academia. Based in Seattle, he has led work at Red Hat on InstructLab and distributed LLM training, shifted into agentic systems optimization at Not Diamond, and now trains genomic diffusion transformer models at Fred Hutch. He combines production-focused engineering (performance, scalability, RPM tooling) with hands-on research in adversarial examples and genomics, and has taught software engineering and CS courses at Boston University. Notably, his background bridges open-source infrastructure and cutting-edge model alignment, reflecting a knack for turning research techniques into deployable systems.
7 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Boston University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (90)
plotly-dash10
python10
messageformat10
charting10
core-package10
visualizations10
flask10
javascript10
ai10
data-visualization10
plotly10
jupyter10
data-science10
finance10
gui-framework10
Programming languages (5)
Github contributions (5)
JamesKunstle/Adversarial-ML-GK
Jun 2021 - Jan 2022
An collaborative repository for continuing a project initially in association with the BU/Red Hat collaboratory. More details in the README.
Contributions:2 reviews, 19 commits, 4 PRs in 7 months
redhat
JamesKunstle/training
May 2024 - Jun 2025
standalone deepspeed backend
Contributions:121 pushes, 38 branches in 1 year
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