Researcher PHD Student at University of Illinois Urbana-Champaign
Champaign, Illinois, United States
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Summary
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Senior
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Top School
Denizhan Kara is a PhD candidate in Computer Science at UIUC with nine years of experience building and deploying ML systems that bridge foundation models, LLMs, and physics-aware multimodal representations. He has translated research into impact through internships at Waymo—where he architected LLM-driven automation pipelines handling millions of events—and at the Army Research Lab, where he improved robust vehicle classification with physics-guided training. His academic work in self-supervised learning and IoT sensing has been published at NeurIPS, WWW, and ACM SenSys, and he frequently combines systems-level thinking with domain knowledge to make models more generalizable and scalable. Comfortable moving between embedded signal processing, production ML pipelines, and foundational research, he seeks applied scientist or research-driven engineering roles that demand both rigor and real-world deployment experience. An unusual strength is his dual background in physics and EE, which he leverages to inject physical priors into large-model training for improved robustness.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Electrical and Electronics Engineering, Bachelor of Science - BS, Electrical and Electronics Engineering at Koç Üniversitesi
High School Diploma, Natural Sciences, High School Diploma, Natural Sciences at Izmir Fen Lisesi
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Illinois Urbana-Champaign
Bachelor of Science - BS, Electrical and Electronics Engineering, Bachelor of Science - BS, Electrical and Electronics Engineering at 京都大学
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Denizhan Kara - Researcher PHD Student at University of Illinois Urbana-Champaign