Chester聽Chen
Acting Product Manager, Federated Learning
California, United States
Summary
馃懁
Senior馃帗
Top SchoolChester Chen is an experienced technology leader and product manager with 13+ years building data infrastructure, analytics platforms, ML pipelines, and distributed systems across startups and large companies. Currently acting as Product Manager for Federated Learning at NVIDIA, he combines hands-on engineering (notably contributions to NVIDIA鈥檚 NVFlare job validation and DevOps tooling) with product strategy and team leadership. Previously he led data science engineering at GoPro, transforming legacy Hadoop clusters to scalable cloud data lakes and shipping ML systems for recommendations and customer analytics. He founded SF Big Analytics, growing it from zero to over 15,000 members and curating high-profile technical talks that reflect his community-building instincts. Comfortable across the stack鈥攆rom Spark, Kafka and Airflow to deployment and monitoring鈥攈e blends academic depth (PhD) with pragmatic architecture and operational excellence. Known for turning research-grade ideas into production-ready systems, he regularly speaks on real-time ML visualization and data platform evolution.
13 years of coding experience
28 years of employment as a software developer
Ph.D, Ph.D at University of Maryland - A. James Clark School of EngineeringBS and MS, BS and MS at Harbin Institute of Technology
Github Skills (12)
sh10
script10
shell10
python10
scripting10
cicd9
unit-testing9
docker8
testing8
dockers8
federated-learning8
pytest8
Programming languages (7)
Github contributions (5)
NVIDIA/NVFlare
May 2022 - Jan 2023
NVIDIA Federated Learning Application Runtime Environment
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:95 reviews, 87 commits, 23 PRs in 8 months
Contributions summary:Chester primarily contributed to the NVIDIA Federated Learning Application Runtime Environment by implementing and improving job validation. This involved adding checks for meta data, deployment maps, resource specifications, and client requirements within the `JobValidator` class. Additionally, the user refactored the `runtests.sh` script to include license and style checks, unit tests, and coverage testing options, demonstrating DevOps skills. The contributions demonstrate a focus on improving the reliability and maintainability of the project.
pythonnvidiadeep-learningruntimemachine-learning
chesterxgchen/NVFlare
May 2022 - Jul 2022
NVIDIA Federated Learning Application Runtime Environment
Contributions:71 pushes, 15 branches in 2 months
nvidiadeep-learningruntimemachine-learningruntime-environment
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