Summary
Lucas Tecot is a UCLA Graduate Researcher with 11 years of engineering and research experience at the intersection of machine learning safety, adversarial guarantees for deep networks, and systems engineering. He has practical industry experience from internships at Tesla and Google where he shipped simulation and video-search features, and earlier embedded systems work at DSP Concepts and rocket testing at UCLA. His research portfolio spans adversarial robustness, Hebbian optimization in RL, and applied perception systems—demonstrating an ability to move ideas from lab prototypes to production-relevant infrastructure. Based in Los Angeles, he blends rigorous CS foundations (3.69 GPA at UCLA) with hands-on firmware, simulation, and distributed processing skills. Beyond technical depth, he pursues space travel and multiplicative philanthropy, signaling a long-term orientation toward high-impact, scalable solutions.
11 years of coding experience
4 years of employment as a software developer
4.0, 4.0 at Homestead High School
Bachelor’s Degree, Computer Science, 3.69, Bachelor’s Degree, Computer Science, 3.69 at University of California, Los Angeles
English, French