Hang is a Senior Algorithm Engineer with 13 years of experience building production-ready simulation, logistics and digital-twin systems for large-scale operations at Tencent, MEGVII and DiDi. He blends deep academic training (MPhil, HKUST) with hands-on engineering, designing real-time, cost-effective modules and reinforcement-learning-enabled simulators that drive operational improvements in warehousing and supply chains. Comfortable across research and production, he has implemented practical analytics tools and verified models on real-world data to accelerate deployment. An active contributor to the Azure CLI project, he brings backend Python and DevOps experience—working on storage/keyvault commands, SAS generation, and test/migration work—that complements his algorithmic focus. Based in Beijing’s Haidian District, he pairs systems thinking with a penchant for turning complex simulations into usable, measurable business outcomes.
13 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Computer Science and Technology (ACM Honored Class), 3.72/4.3, Bachelor’s Degree, Computer Science and Technology (ACM Honored Class), 3.72/4.3 at Shanghai Jiao Tong University
University of California, San Diego
Hong Kong University of Science and Technology (HKUST)
Contributions:2 releases, 701 reviews, 142 commits in 9 months
Contributions summary:Hang primarily contributed to the Azure CLI, focusing on storage and keyvault command modules. Their work included implementing new commands for generating SAS tokens and fixing issues related to network rules within the keyvault. They also contributed to migrating storage commands to track2, updating test files, and building RPM packages. The user demonstrated proficiency in Python and experience with Azure services.
Developer utilities for Azure CLI command module and extension developers.
Contributions:1 PR, 29 pushes, 9 branches in 1 year 9 months
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