Dan Nelson
Staff Software Engineer at Google
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolDan Nelson is a Staff Software Engineer in San Francisco with 10 years of experience building production ML and data systems across startups and large tech companies. He holds an M.S. in Computer Science from UT Austin and a B.S. in Bioengineering from Rice, and transitioned from academic and product roles at National Instruments into software, data science, and production ML at Indeed, Rent The Runway, and Replicate before joining Google. Dan specializes in taking research models to scalable, customer-facing systems and developer-focused ML infrastructure, balancing product requirements with robust engineering. His bioengineering and academic product-management background gives him a rare cross-disciplinary perspective for translating domain needs into reliable software. At Google he continues to drive large-scale ML systems and operational workflows that bridge research and production.
10 years of coding experience
12 years of employment as a software developer
Master of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at The University of Texas at AustinBachelor of Science (B.S.), Bioengineering, Bachelor of Science (B.S.), Bioengineering at Rice University
Spanish
Github Skills (46)
pytorch10
docker10
image-processing10
machine-learning10
model-management10
super-resolution10
containers10
denoising10
python-client10
deep-learning10
image-restoration10
tensorflow10
speech10
ai10
cuda10
Programming languages (6)
Github contributions (5)
replicate/cog-flux
Sep 2024 - Mar 2025
Cog inference for flux models
Contributions:17 reviews, 47 PRs, 124 pushes in 6 months
replicate/cog-sdxl
Aug 2023 - Jul 2024
Stable Diffusion XL training and inference as a cog model
Contributions:2 reviews, 16 PRs, 42 pushes in 11 months
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