Divyam Madaan
Researcher at FOR.ai
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolDivyam Madaan is a researcher and PhD candidate in computer science with a decade of software engineering experience, currently pursuing advanced studies at KAIST and NYU while researching adaptive computation and adversarial robustness at FOR.ai. He blends deep learning research with practical engineering—past internships at NVIDIA and contributions to KDE and STEM Lending show a track record of shipping both research and production-quality software. An active open-source contributor, he has improved documentation for matplotlib’s example gallery and enhanced UX in the well-known GCompris-qt educational project, reflecting attention to clarity and end-user experience. As a Codementor expert and former Google mentor, he pairs technical depth with mentorship and community engagement. Notably, his work spans low-level deployment improvements (uWSGI/Nginx in Docker) to model-level adversarial defenses, demonstrating comfort across the stack. Based in New York, he combines rigorous academic training and strong engineering instincts to move research ideas toward real-world impact.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at New York UniversityBachelor of Engineering - BE, Information Technology, 9.21/10, Bachelor of Engineering - BE, Information Technology, 9.21/10 at Panjab UniversityMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Korea Advanced Institute of Science and Technology
Github Skills (14)
data-visualizations10
qml10
qtquick10
data-visualization10
data-visualisation10
user-interface10
ui-design10
python10
graphical-user-interface10
plot10
documentation10
matplotlib10
user-experience9
localization8
Programming languages (12)
Github contributions (5)
gcompris/GCompris-qt
Jul 2016 - Dec 2018
GCompris in Qt Quick - Mirror of https://invent.kde.org/education/gcompris
Role in this project:
Front-end Developer
Front-end DeveloperContributions:24 commits, 8 PRs, 33 comments in 2 years 5 months
Contributions summary:Divyam primarily focused on the user interface and user experience aspects of the GCompris-Qt project. They made several changes to the QML files, fixing layout issues in portrait mode, modifying instructions, and adding tutorial screens. Their contributions include changes to the categorization activity and background music integration. The commits demonstrate a focus on improving the user interface and overall user experience.
qt-quickqt5
matplotlib/matplotlib
Oct 2017 - Oct 2017
matplotlib: plotting with Python
Role in this project:Technical Writer
Technical WriterContributions:6 commits, 6 PRs, 16 comments in 21 days
Contributions summary:Divyam primarily contributed to the project by updating and adding descriptions within the example files. These updates involved clarifying the purpose and functionality of various examples, including event handling, images, contours, fields, and subplots. They also addressed issues with animation examples, removing unnecessary keywords and updating existing documentation. The user's commits focused heavily on improving code documentation and clarifying example usage within the matplotlib library.
pythondata-sciencegtkdata-visualizationplotting
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