Summary
Jongwon Lee is a robotics PhD and research engineer with a decade of experience turning sensor-rich data into robust navigation and localization systems for aerial and ground vehicles. At UIUC he has pushed real-time visual-inertial SLAM and rapid image localization on 3D Gaussian splatting from >10s to ~0.1s per image, and his work on multi-scale fiducial-based takeoff/landing has been applied to urban air mobility. He combines strong theoretical rigor (PhD, 3.97 GPA) with practical impact across industry internships at Google, Amazon, and NAVER Labs, including a patent-pending visual navigation pipeline. Skilled in predictive modeling, NLP-adjacent analytics, and sensor fusion, Jongwon also contributed to CubeSat inertial systems for a NASA-funded project—evidence of his ability to translate research into constrained, mission-critical deployments.
10 years of coding experience