Sean Sall

Staff Machine Learning Engineer at Videa

Berkeley, California, United States
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Summary

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Senior
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Top School
Sean Sall is a Staff Machine Learning Engineer based in Berkeley with over a decade building and deploying FDA-cleared medical imaging models and production ML systems. He combines deep ML fundamentals with software engineering rigor to optimize model latency, scalability, and tooling—recently cutting response times 2.5x and enabling 10x faster image iteration for clinical products. Sean has led end-to-end yield and outcomes prediction projects in agritech and medical imaging, and he’s designed cloud pipelines that reduced data ingestion from days to hours. He’s experienced in ML infrastructure, MLOps, and team leadership, having mentored engineers and managed model deployments that supported fundraises and regulatory approvals. Motivated by climate impact, his GitHub bio signals a drive to apply ML toward reversing climate change, reflecting a broader interest beyond healthcare. Practical, product-focused, and regulatory-savvy, he excels at turning complex research into reliable, scalable production systems.
code11 years of coding experience
job8 years of employment as a software developer
bookBachelor of Arts, Economics, Bachelor of Arts, Economics at University of Notre Dame
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Stackoverflow

Stats
1reputation
0reached
3answers
0questions
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Github Skills (74)

python10
deep-learning10
coco10
webscraper10
ml10
neural-network10
jax10
data-science10
tensorflow10
pytorch10
machine-learning10
deep-neural-networks10
linear-regression9
api9
science9

Programming languages (5)

C++GoHTMLJupyter NotebookPython

Github contributions (5)

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sallamander/web-scrapers

Dec 2015 - Aug 2016

A repo for all of the web-scrapers I've ever built
Contributions:159 commits, 154 pushes, 1 branch in 8 months
webscraper
sallamander/just-enough

Jul 2015 - May 2016

Contributions:78 commits, 74 pushes, 4 branches in 10 months
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