Haider Al-tahan is a machine learning researcher and software engineer with nine years of experience bridging cognitive science and applied AI, currently a Graduate Student Researcher at Georgia Tech after an AI Residency at Meta. He specializes in vision-language models and self-supervised learning, and authored UniBench, a benchmark used to evaluate robustness in multimodal systems. His background in honours Computer Science and Psychology informs interdisciplinary work on auditory and spatiotemporal representations, from EEG analyses to dynamic scene databases. Haider also contributes to practical software projects—improving UI/UX for Flutter intro screens—and has applied ML to real-world domains such as legal-document automation and communication disorders. Colocated in Atlanta, he brings both research rigor and product-minded engineering to deployable AI solutions.
9 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 Western University
Bachelor of Science - BS Honours Computer Science and Psychology, Bachelor of Science - BS Honours Computer Science and Psychology at York University
☀️ A Flutter package for some material design app intro screens with some cool animations.
Role in this project:
Front-end Developer
Contributions:5 commits, 2 issues in 7 days
Contributions summary:Haider primarily contributed to the UI/UX elements of the Flutter package. Their commits focused on adding and modifying buttons, specifically "Next," "Back," and correcting a variable name. They adjusted the visibility of these buttons and added functionality, demonstrating a focus on user interaction and the overall flow of the intro screens. This involved modifying existing components within the Flutter framework.
Python Library to evaluate VLM models' robustness across diverse benchmarks
Contributions:1 release, 10 PRs, 25 pushes in 7 months
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