Adil Rahman is a final-year PhD candidate in Computer Science at the University of Virginia with eight years of research and engineering experience bridging human-centered AI, cyber-physical systems, and developer tooling. As a research assistant and former teaching assistant at UVA, he develops adaptive, domain-specific Gen-AI systems and has interned at Fujitsu Research building human-centered automation for data transformations. His background includes practical systems work—from a flexible polygon grid and UAV simulation tweaks at SkyMap to CI metadata capture tooling for Jenkins at NJIT—demonstrating a blend of user-focused design and production-minded engineering. Comfortable in both academic and industry settings, he pairs rigorous PhD-level research with hands-on prototyping to make complex automation usable and auditable.
8 years of coding experience
Bachelor of Technology - BTech, Information Technology, 9.27, Bachelor of Technology - BTech, Information Technology, 9.27 at Heritage Institute of Technology
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Virginia
Contributions:1 push, 2 branches in 4 years 9 months
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