Chon Seng
Senior Software Engineer at Microsoft
Greater Seattle Area United States
Summary
🤩
Rockstar🎓
Top SchoolChon Seng is a Senior Software Engineer on the Microsoft Azure Identity team with eight years of experience building secure, production-grade cloud services and identity features. He progressed through roles on Azure Managed Identity and Microsoft Entra ID backup authentication, combining backend engineering with observability and reliability improvements. Chon is also an active open-source contributor in ML tooling—adding PyTorch examples and core trial-management fixes to Microsoft's widely used samples-for-ai and NNI repositories—bridging machine learning engineering and systems work. A UC Berkeley-trained EECS graduate based in the Greater Seattle Area, he brings practical performance optimization experience from earlier R&D and freelance web projects and a knack for improving core platform observability.
7 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS, Electrical Engineering and Computer Sciences (Transfer), Bachelor of Science - BS, Electrical Engineering and Computer Sciences (Transfer) at De Anza CollegeBachelor of Science - BS, Electrical Engineering and Computer Sciences, Bachelor of Science - BS, Electrical Engineering and Computer Sciences at UC Berkeley College of EngineeringHigh School, Science, High School, Science at Pui Ching Middle School, Macao
Chinese, English, Chinese
Github Skills (21)
pytorch10
python10
image-classification10
machine-learning10
mask-rcnn10
data-storage10
deep-learning10
faster-rcnn10
transfer-learning10
data-science9
cifar1009
mnist9
hyperparameter-optimization9
typescripts8
automated-machine-learning8
Programming languages (5)
Github contributions (5)
microsoft/nni
Sep 2018 - Dec 2020
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:8 releases, 192 reviews, 216 commits in 2 years 3 months
Contributions summary:Chon primarily contributed to the NNI manager and trial execution core, focused on improving trial job management and data storage. Their work includes adding features to track trial start times and correct the standard error path, indicating a focus on improving the observability of trial jobs. Additionally, they fixed data storage issues related to multiple final results for multi-phase trials, demonstrating involvement with the core logic of model training life cycle.
pythonneural-architecture-searchengineeringtensorflowbayesian-optimization
microsoft/samples-for-ai
Jun 2018 - Jul 2018
Samples for getting started with deep learning across TensorFlow, CNTK, Theano and more.
Role in this project:ML Engineer
ML EngineerContributions:7 commits, 5 PRs, 6 pushes in 1 month
Contributions summary:Chon contributed multiple PyTorch-based examples for deep learning tasks within the repository. They implemented and updated MNIST and CIFAR10 examples, showcasing model definition, training loops, and evaluation metrics. Furthermore, they added a transfer learning example using a pre-trained ResNet model, fine-tuning it for the CIFAR10 dataset, demonstrating practical application of existing models. The user's work focuses on applying and demonstrating PyTorch for image classification and model transfer.
mxnetdeep-learningtheanomachine-learningtensorflow
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.