Scott Bauersfeld
Software Engineer at Databricks
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolScott Bauersfeld is a software engineer based in San Francisco with seven years of experience building scalable systems and applied deep learning. He holds a BS and MS from UCLA, where his research developed non-invasive brain-machine interfaces using convolutional and recurrent networks on EEG data. At Databricks and through internships at Amazon, Qualcomm, and Symantec he’s shipped production services and performance-optimized ML inference—quantizing models for 60x latency improvements and architecting serverless pipelines handling tens of thousands of logs per minute. Comfortable across backend, ML, and front-end stacks, he blends research rigor with pragmatic engineering to move models from lab prototypes to high-throughput production. Outside work he’s an avid outdoorsman, which he credits for sustaining the curiosity and persistence behind tackling complex, large-scale problems.
7 years of coding experience
2 years of employment as a software developer
Poway High SchoolBachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at University of California, Los Angeles
Github Skills (16)
incremental-learning10
apache-spark10
machine-learning10
filesystem10
model-management10
mlflow10
dvc10
python10
ai10
mount10
ml10
lifecycle10
fuse9
golang8
databricks5
Programming languages (4)
Github contributions (5)
sbauersfeld/tttt
Feb 2021 - Jul 2024
Contributions:1 PR, 34 pushes, 4 branches in 3 years 5 months
sbauersfeld/file-editor
Aug 2022 - Mar 2024
Contributions:26 pushes, 1 branch in 1 year 6 months
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