Dan Nelson
Staff Software Engineer at Google
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolDan Nelson is a Staff Software Engineer based in San Francisco with a decade of experience building ML-driven products and scalable systems across tech and research environments. He moved from applied roles at National Instruments and academic research into production engineering and data science at Indeed, then led machine learning efforts at Rent The Runway and Replicate before joining Google as a staff engineer. His background blends a BS in Bioengineering with an MS in Computer Science from UT Austin, giving him a multidisciplinary approach to modeling, systems design, and product integration. Dan is comfortable bridging research and production—shipping models into real-world services and improving engineering practices at scale. Colleagues would note his pattern of elevating ML infrastructure and data platforms where reliability and experimentation coexist. He brings a pragmatic curiosity informed by both lab research and large-scale production experience.
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 (44)
pytorch10
docker10
image-processing10
machine-learning10
model-management10
super-resolution10
denoising10
python-client10
deep-learning10
image-restoration10
speech10
tensorflow10
ai10
cuda10
computer-vision10
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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