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 four years of applied machine learning and product engineering experience based in the Washington DC–Baltimore area. He blends hands-on ML engineering (roles at Hugging Face, Gradio, Runway and a Snap residency) with growth and developer-focused leadership, helping models reach real users. His open-source work ranges from simplifying a PyTorch GAN demo by removing heavyweight dependencies to adding targeted test coverage for Gradio, signaling a pragmatic focus on production-ready tooling and reproducibility. He holds an MS in Computer Science from Georgia Tech (3.8 GPA) and a BA in Economics from University of Maryland, combining technical depth with product and analytical instincts.
4 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 Technology
English
Github Skills (15)
unittesting10
unittest10
computer-vision10
pytorch10
machine-learning10
unittests10
pytest10
python10
testing10
gradio9
deep-learning8
http-request8
deep-learning-ai8
data-science8
http-requests8
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
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.