Summary
Marc Mouawad is a robotics and AI-focused engineer combining dual bachelor's degrees in Electrical & Computer Engineering and Economics with an MSc in Robotics from EPFL. He has eight years of hands-on experience in perception, control, and deep learning, with research contributions in instance and semantic segmentation and practical work on SLAM and autonomous deployment. Currently a Generative AI Intern at Logitech, he explores text-to-speech and latent-space manipulation while bringing a strong signal-processing and control background to ML problems. Marc’s work blends rigorous mathematical thinking—evident from a math minor and a track in control and robotics—with practical implementation skills in PyTorch and MMDetection. Notably, he developed a split-head training strategy and a regression-based semantic segmentation algorithm during academic research, highlighting a knack for creative, research-driven engineering.
8 years of coding experience
1 year of employment as a software developer
Master of Science - MSc, Robotics, 5.4/6.0, Master of Science - MSc, Robotics, 5.4/6.0 at EPFL
Bachelor of Engineering - BE, Electrical and Electronics Engineering, 4.0/4.0, Bachelor of Engineering - BE, Electrical and Electronics Engineering, 4.0/4.0 at American University of Beirut
English, French, Arabic