Summary
Felipe Moreno is a Computer Vision Research Engineer with nine years of experience building and deploying ML-driven perception systems across robotics, ADAS, and medical imaging. Trained at MIT (MEng AI, BE in CS and Mechanical Engineering), he blends strong mathematical algorithm design with hands-on software skills in Python, C++, Java, JavaScript and MATLAB. He has published at ICRoM 2020 and led transfer-learning projects at the MIT Media Lab that inferred mental health signals from video while applying gradient-based attribution for interpretability. In industry he has designed point-cloud and LiDAR pipelines, MLOps/cloud infrastructure, and geometric libraries that bridge research prototypes to production. Comfortable working across security, embedded and cloud stacks, he often pairs perception research with practical architecture and threat-mitigation work—an uncommon combo that enables deploying AI in safety- and privacy-sensitive settings. Now based in Cambridge, MA, he focuses on scalable, socially beneficial vision systems and conversational-robotic interfaces.
9 years of coding experience
7 years of employment as a software developer
Master of Engineering - MEng Artificial Intelligence, Master of Engineering - MEng Artificial Intelligence at Massachusetts Institute of Technology
BS Bachelor's of Science and Commerce, BS Bachelor's of Science and Commerce at Brader School
Spanish, English