Ahsen Khaliq
ML Growth Lead at Hugging Face
Washington DC-Baltimore Area United States
Summary
🤩
Rockstar🎓
Top SchoolAhsen Khaliq is an ML Growth Lead at Hugging Face with five years of experience turning machine learning research into user-facing products and community growth. He has deep hands-on experience shipping and hardening ML apps—contributing QA and test automation to the widely used Gradio project and refactoring model demo code to reduce dependencies and simplify deployment. His background spans computer vision, generative models, and platform integrations from roles at Runway, Uraniom, and Snap’s residency, complemented by an MS in Computer Science from Georgia Tech. Comfortable at the intersection of engineering, product, and developer outreach, he combines rigorous testing practices with pragmatic code simplification to accelerate adoption of ML tooling.
5 years of coding experience
4 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of TechnologyBachelor of Arts (B.A.) Economics, Bachelor of Arts (B.A.) Economics at University of Maryland
English
Github Skills (13)
unit-testing10
computer-vision10
pytorch10
machine-learning10
pytest10
python10
unit-test10
testing10
gradio9
deep-learning8
deeplearning-ai8
http-request8
data-science8
Programming languages (9)
Github contributions (5)
gradio-app/gradio
Oct 2021 - Aug 2022
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:27 reviews, 49 commits, 8 PRs in 10 months
Contributions summary:Ahsen's commits primarily focus on updating and adding tests for the Gradio application. They modified existing test files, `test_utils.py`, `test_interfaces.py`, `test_external.py`, and `test_interpretation.py`, to include new test cases. The changes involve testing various aspects of the application's functionality, including analytics, interpretation, and interface behavior. This suggests a focus on ensuring the application's reliability and validating new features.
data-analysispythondata-sciencedeep-learningdeploy
mchong6/GANsNRoses
Jun 2021 - Jun 2021
Official PyTorch repo for GAN's N' Roses. Diverse im2im and vid2vid selfie to anime translation.
Role in this project:ML Engineer
ML EngineerContributions:12 commits, 1 PR, 11 comments in 1 day
Contributions summary:Ahsen primarily focused on refactoring and simplifying the `gradiodemo.py` file within the project. Their commits involved removing dependencies like `aubio`, `dlib`, and `cv2`, suggesting efforts to streamline the code and reduce external library usage. They also modified the example and style configurations for the image generation, switching the number of styles to one, thus likely reducing complexity or optimizing the model for specific configurations.
pytorchdiversedeep-learningtranslationselfie
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