Summary
Ikechukwu Adebi is a robotics and computer vision researcher and PhD student at UT Austin with a decade of experience building applied ML and robotic systems across academia and industry. He combines hands-on expertise in mobile manipulation, reinforcement learning, and representation learning from roles at MIT CSAIL, Google, IBM, and the MIT Environmental Solutions Initiative, and currently researches mobile robot manipulation in UT’s Nuclear and Applied Robotics Group with co-advising from LARG. Comfortable across Python, C++, and web stacks, he has shipped production-focused ML pipelines (e.g., conversation summarization and Google Lens label extraction) and developed safety-minded multi-agent and control policies for aerial and ground robots. His work uniquely blends field-oriented projects—like UAV-enabled landslide monitoring and interpretable Guardian Agents for flight assistance—with scalable algorithmic research, reflecting a focus on robust, deployable AI for high-stakes environments.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of Texas at Austin
Master of Engineering - MEng, Artificial Intelligence, Master of Engineering - MEng, Artificial Intelligence at Massachusetts Institute of Technology
High School Diploma, High School Diploma at Wilmington Friends School