Huy Do is a seasoned software engineer with 15 years of experience building scalable back-end systems and cloud-native infrastructure across security, e‑commerce, and large-scale data platforms. He has driven architecture and automation work at Symantec (including AWS, Terraform, Docker, streaming ML pipelines and CICD) and helped shape delivery experience at Amazon before joining Meta. Comfortable in both legacy stacks (Perl, SQL) and modern ecosystems (Python, Spark, Kubernetes), he blends hands‑on coding with system design to tackle high-throughput, real‑time problems. An active contributor to the PyTorch repo, he has focused on improving code quality and developer workflows by integrating linters and automation for consistent builds and cherry-pick workflows. Based in Vancouver, Huy pairs rigorous engineering discipline with practical threat analysis and machine‑learning experience from earlier research roles, bringing a rare mix of security-aware, production-first thinking to platform engineering.
15 years of coding experience
11 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at National University of Singapore
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Role in this project:
Backend Developer
Contributions:1973 reviews, 227 commits, 908 PRs in 7 months
Contributions summary:Huy's contributions primarily focused on code formatting and standardization within the PyTorch repository. They implemented changes to ensure consistent formatting, style, and code structure by integrating and applying the ufmt linter. Additionally, they were involved in creating and updating scripts related to building and testing various components, including the addition of a new cherry-pick workflow. They also implemented changes to ensure the correct inclusion of dependencies and dependencies in their jobs.
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