Summary
César Magaña is a Senior R&D Algorithms Engineer with 11 years of experience building high-performance AI and perception systems for automotive and autonomous driving applications. He combines a strong mathematical foundation (BS in Mathematics, Master-level work at CIMAT) with hands-on C++ and Python engineering, delivering production-ready solutions such as a 3.5x faster grid-based DBSCAN and radar simulation models for ADAS. At Continental he has moved from applied research in safe, interpretable AI to deploying sensor-near ML for robotaxi and CV platforms, bridging research, simulation, and edge deployment with PyTorch, TensorFlow, Docker and MLOps practices. He also has a background leading network security operations and automating complex enterprise processes, which informs his pragmatic, safety-first approach to system design. Based in Guadalajara, he stays active in the research literature and mentorship, and has a track record of translating academic ideas into robust, real-time automotive software.
11 years of coding experience
15 years of employment as a software developer
Bachelor of Science - BS Mathematics, Bachelor of Science - BS Mathematics at Universidad de Guanajuato
Master of Computer Science and Industrial Mathematics Computer Science, Master of Computer Science and Industrial Mathematics Computer Science at Centro de Investigación en Matemáticas
Spanish, English, French, Japanese, German