Ryan Tam
Data Scientist Software Developer
San Diego, California, United States
Summary
🤩
Rockstar🎓
Top SchoolRyan Tam is a versatile data scientist and software developer with 11 years of experience building end-to-end, high-throughput image processing and ML pipelines and translating R&D prototypes into production systems. Based in San Diego, he combines deep technical skills in AWS, Linux automation, CI/CD, Docker, serverless, and parallel processing with hands-on experience across Redis, Postgres, DynamoDB, Wasabi and S3 storage. He has applied this expertise across academia and industry—from Caltech and Reveal Biosciences to Illumina—delivering scalable workflows for deep learning and image analysis. Comfortable across research and engineering domains, he excels at trade-off studies, system design, and clear technical reporting and presentations. Always curious about the latest AI models, he pairs a bioengineering background (UCSD MS) with an IT master’s (Virginia Tech) to bridge domain science and production software. Colleagues rely on him as a resourceful collaborator who keeps the big picture in view while driving reliable, testable deployments.
11 years of coding experience
9 years of employment as a software developer
University of California San DiegoMaster’s Degree, Information Technology, 4.0, Master’s Degree, Information Technology, 4.0 at Virginia Tech Graduate School
Github Skills (133)
sentry10
python10
operation10
trading10
keyboard-events10
metadata10
automation10
options-trading10
k8s10
streaming10
minio10
django10
beam10
r10
sublime-text10
Programming languages (13)
Github contributions (5)
ryantam626/dotfiles
Feb 2020 - Dec 2022
Contributions:135 commits, 44 pushes, 1 branch in 2 years 9 months
jupyterlab-contrib/jupyterlab_code_formatter
May 2019 - Aug 2022
A JupyterLab plugin to facilitate invocation of code formatters.
Contributions:3 reviews, 367 commits, 190 PRs in 3 years 3 months
formattersjupyterlabjupyterlab-extensionjupyterlab-extensionsyapf
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