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.
11 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 (45)
algorithms10
pytorch10
docker10
machine-learning10
diffusers10
super-resolution10
image-restoration10
tensorflow10
ai10
cuda10
music10
openai-whisper9
music-generation9
python9
stable-diffusion9
Programming languages (6)
Github contributions (5)
replicate/cog-whisper
Jun 2023 - Nov 2024
Run OpenAI Whisper as a Cog model
Contributions:1 review, 4 PRs, 4 pushes in 1 year 6 months
openai-whisper
replicate/cog-flux
Sep 2024 - Jun 2025
Cog inference for flux models
Contributions:21 reviews, 51 PRs, 128 pushes in 9 months
inference
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