Bo Zhang
Software Engineer
Summary
🤩
RockstarBo Zhang is a software engineer with five years of experience focused on front-end development, particularly in building intuitive UI components for complex AI tooling. He has contributed to Microsoft's well-regarded Responsible AI Toolbox, implementing dataset explorers, WhatIf tabs, counterfactual charts, and features for saving/creating counterfactual datapoints that help stakeholders probe model behavior. Comfortable translating data-driven requirements into polished interactive interfaces, Bo blends attention to UX details with an understanding of AI accountability workflows. Based in China, he brings practical open-source experience that signals both collaboration at scale and a commitment to responsible AI tooling.
5 years of coding experience
Github Skills (12)
uid10
typescript10
javascript10
typescripts10
front-end-development10
ui-design10
react10
typescript-types10
data-visualization9
data-visualisation9
data-visualizations9
html8
Programming languages (1)
Github contributions (3)
microsoft/responsible-ai-toolbox
Sep 2020 - Apr 2022
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
Role in this project:
Front-end Developer
Front-end DeveloperContributions:75 reviews, 130 commits, 219 PRs in 1 year 6 months
Contributions summary:Bo Zhang's commits focused on implementing and modifying UI components within the `microsoft/responsible-ai-toolbox` repository. They made changes to the Dataset Explorer, WhatIf Tab, and counterfactual chart, integrating new features and functionality. A significant portion of their work involved creating, updating, and aligning UI elements, including the implementation of charts and the configuration of axes. They also added support for saving and creating counterfactual datapoints.
fairness-mlwidgetpythonmonitordeveloper-tools
JTAG-Romney/responsible-ai-widgets
Jan 2021 - Feb 2021
This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.
Contributions:4 commits in 1 month
fairness-mlbuilding-blocksmachine-learningfairlearnuser-interfaces
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