Anda Zhou
Software Engineer - ML Systems at Determined AI, acquired by Hewlett Packard Enterprise company in 2021
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolAnda Zhou is a Software Engineer specializing in ML systems with five years of experience building production-grade tooling for distributed training and MLOps. Based in the San Francisco Bay Area, she contributes to Determined AI (now part of HPE), focusing on performance, stability, and integrations such as TensorBoard profiling and metrics safeguards that prevent memory issues in large-scale experiments. Her background in neuroscience and computer science from Carnegie Mellon informs a systems-oriented approach to model infrastructure and experiment reproducibility. Practical, detail-oriented, and operationally minded, she thrives on turning research workflows into reliable, scalable platforms for ML teams.
5 years of coding experience
Bachelor of Science - BS, Neuroscience, Computer Science, Bachelor of Science - BS, Neuroscience, Computer Science at Carnegie Mellon University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (12)
tensorboard10
pytorch10
mlops10
tensorflow10
python10
testing9
distributed-training9
deep-learning9
docker8
kubernetes8
kubernetes-pods8
dockers8
Programming languages (4)
Github contributions (5)
determined-ai/determined
May 2021 - Jan 2023
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Role in this project:
MLOps Engineer
MLOps EngineerContributions:846 reviews, 249 commits, 391 PRs in 1 year 8 months
Contributions summary:Anda focused on improving the Determined AI platform by addressing performance and stability issues related to metrics tracking and tensorboard integrations. They implemented limits on metrics sizes to prevent memory issues, and added support for tensorboard profiling plugins. Further contributions involved updating default environment images and fixing tests related to example models, demonstrating a focus on the operational aspects of the machine learning platform and its integration with supporting tools.
pytorchdata-sciencedeep-learningdistributed-trainingmachine-learning
ChrisW09/determined
Jul 2021 - Dec 2021
Determined: Deep Learning Training Platform
Contributions:83 commits in 4 months
deep-learningpytorchmachine-learningtraining
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.