Jason G
Founder at Stealth Mode
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJason G is a founder and machine learning generalist with a PhD from Princeton and a decade of experience building scalable ML systems across startups and enterprise. He led core ML infrastructure work at Activeloop and Netflix, contributing to open-source Metaflow by adding R support and AWS integrations to make production ML pipelines more language-flexible. His work spans high-performance model training and inference (optimizing RNN/BERT pipelines and embedding services at TB scale) as well as practical MLOps, cloud-native deployments, and proprietary market-making on decentralized protocols. A published researcher with fast second-order solvers and widely used sparse-learning libraries, he blends theoretical rigor with hands-on engineering to turn state-of-the-art algorithms into cost-effective, production-ready systems.
10 years of coding experience
11 years of employment as a software developer
Research Assistant Medical Imaging using, Research Assistant Medical Imaging using at University of OxfordBachelor's degree Computational and Applied Mathematics, Bachelor's degree Computational and Applied Mathematics at University of Science and Technology of ChinaDocter of Philosophy (PhD) Statistical Machine Learning, Docter of Philosophy (PhD) Statistical Machine Learning at Princeton University
English, Chinese
Github Skills (14)
mlops10
step-functions10
aws10
python10
aws-batch10
r10
data-science9
machine-learning9
model-management6
cicd6
dockers5
docker5
kubernetes4
kubernetes-pods4
Programming languages (7)
Github contributions (5)
Netflix/metaflow
Apr 2020 - Apr 2021
Build, Manage and Deploy AI/ML Systems
Role in this project:
MLOps Engineer
MLOps EngineerContributions:2 releases, 20 reviews, 22 commits in 11 months
Contributions summary:Jason's primary contributions center on integrating and extending Metaflow, an ML platform, to support the R programming language. This includes adding support for R bindings, creating hooks for R within AWS Step Functions and AWS Batch, and ensuring compatibility with the Metaflow infrastructure. They focused on setting up the environment for R, including dependency management, and integrating R code with the existing Python-based Metaflow workflows.
aimachine-learningmodel-managementmlml-platform
Netflix/user2020-metaflow-tutorial
Jul 2020 - Aug 2020
Tutorial contents for useR! 2020 Metaflow workshop
Contributions:23 commits, 2 pushes in 7 days
rrstatsmetaflowdatasciencemachine-learning
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