Sean Sall
Staff Machine Learning Engineer at VideaHealth
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolSean 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.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Arts Economics, Bachelor of Arts Economics at University of Notre Dame
Stackoverflow
1reputation
0reached
3answers
0questions
Github Skills (93)
python10
unet-image-segmentation10
deep-learning10
ml10
neural-network10
data-science10
tensorflow10
pytorch10
machine-learning10
deep-neural-networks10
api9
jax9
testing9
property-based-testing9
quality-assurance9
Programming languages (4)
Github contributions (5)
sallamander/dl-playground
Aug 2018 - Aug 2019
A repository for experimenting and tinkering with deep learning architectures.
Contributions:85 commits, 157 PRs, 377 pushes in 1 year 1 month
architecturescaffe2experimentingdeep-learningunet-image-segmentation
sallamander/forest-fires
Aug 2015 - Aug 2016
Contributions:712 commits, 4 PRs, 538 pushes in 11 months
pythonsciencedata-sciencemachine-learninggalvanize
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