Dawood Khan
Machine Learning Engineer at Hugging Face
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolDawood Khan is a Machine Learning Engineer and founder with a decade of experience building developer-facing tools and mobile SDKs from New York. As co-founder of Gradio (acquired by Hugging Face) he helped create a platform used by 900,000+ ML engineers to demo and debug models, and now contributes to Hugging Face’s ML engineering efforts. His background spans backend development, QA, and iOS SDK engineering—shipping production SDKs at DJI that expanded device support and developer adoption, and contributing unit tests and fixes to the popular Gradio open-source project. He combines product-minded engineering with hands-on implementation, from MetalKit visualizations of LIDAR point clouds to scalable ML app tooling.
10 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at New York University
Github Skills (6)
unit-testing10
gradio10
unit-test10
python10
testing9
test-automation9
Programming languages (6)
Github contributions (5)
gradio-app/gradio
Apr 2019 - Jan 2023
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Role in this project:
Backend Developer and QA Engineer
Backend Developer and QA EngineerContributions:281 reviews, 429 commits, 358 PRs in 3 years 10 months
Contributions summary:Dawood primarily focused on writing and testing unit tests for the Gradio library. Their commits added and updated unit tests for various output and input components like Label, Textbox, Image, and Webcam. The user also made some pathing fixes in relation to the files and updated the code to include imports for the test files.
data-analysispythondata-sciencedeep-learningdeploy
dawoodkhan82/CAStLE
Feb 2016 - Apr 2020
Contributions:2 pushes, 1 branch, 3 issues in 4 years 2 months
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