Tao Zhao is a Research Scientist at Meta with 14 years of experience building large-scale network software and tools that support products for over three billion users. He specializes in vendor-agnostic network modeling (including multi-layer optical topologies), automation for Optical & IP co-design, and end-to-end tooling—model, API, CLI, and UI—to drive data center planning and operational efficiency. A PhD in Computer Engineering from Texas A&M and dual degrees from Tsinghua underpin his deep systems and networking expertise, while his open-source contributions (notably front-end and PHP/Python work for popular Tsinghua mirror and thesis template projects) show a practical, user-focused approach. Colleagues value him for modernizing legacy stacks to improve performance, reliability, and scalability, and for bridging research-grade techniques with production engineering. Unobvious detail: he combines low-level network modeling with hands-on UI/UX improvements in open-source projects, reflecting both systems depth and attention to user experience.
14 years of coding experience
Doctor of Philosophy (Ph.D.), Computer Engineering, GPA 4.0, Doctor of Philosophy (Ph.D.), Computer Engineering, GPA 4.0 at Texas A&M University
Bachelor’s Degree, Electrical, Electronics and Communications Engineering, Bachelor’s Degree, Electrical, Electronics and Communications Engineering at Tsinghua University
Source code of the web interface of https://mirrors.tuna.tsinghua.edu.cn/
Role in this project:
Full-stack Developer
Contributions:59 commits, 1 PR, 1 push in 6 years 7 months
Contributions summary:Tao primarily contributed to the front-end interface of the mirror website, including implementing new features and modifying existing ones. They added and updated descriptions for various mirrors, added links, and made changes to the website's layout and styling using CSS. Additionally, the user refactored and optimized existing PHP code. These contributions suggest a focus on maintaining and improving the website's user experience and information accuracy.
Contributions:114 commits, 28 PRs, 9 pushes in 4 years
Contributions summary:Tao primarily focused on enhancing the LaTeX thesis template by developing and refining a Python script (`zhfonts.py`) to interactively configure Chinese fonts. Their contributions included implementing Python 2.6 compatibility, fixing encoding declarations, correcting input parsing, and improving font name retrieval. The user also updated the thesis's bibliography style (BST) and made updates to build scripts and configuration files.
tsinghuaxelatexctanthesis-templatelanguagetool
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