Summary
Ugo Levi-cescutti is a software engineer based in San Diego with six years of experience building embedded and ML-driven systems, currently focused on camera 3A algorithms (AF/AE/AWB) at Qualcomm. He combines a strong academic background from EPITECH and UC San Diego with hands-on experience in aerospace flight software prototyping, ML model deployment, and production-ready DevOps. Past projects include deploying YOLOv5-based solutions on AWS, developing AutoML pipelines, and evaluating NASA/ESA open-source flight frameworks to accelerate space instrumentation development. Comfortable across embedded C/C++ stacks and modern ML toolchains, he bridges low-level real-time constraints and higher-level data-driven workflows. An early career pattern of delivering paid industry projects through a student-run company shows he turns experimental research into commercial outcomes. He brings a pragmatic, multidisciplinary mindset that thrives at the intersection of computer vision, embedded systems, and scalable ML.
6 years of coding experience
2 years of employment as a software developer
Epitech
University of California, San Diego
Baccalaureate, Sciences, Baccalaureate, Sciences at Champlain High School