Summary
Clement Barthes is a founder and engineer blending a decade of hands-on ML, DSP, and hardware experience to build radar systems with digital twins that solve end-to-end perception problems for autonomous systems. As Co-Founder & CEO of Congruent and former Machine Learning Manager at Zendar and CTO of Safehub, he has moved advanced deep learning from research labs into real-time sensor pipelines and production perception stacks. Trained as a PhD structural engineer from UC Berkeley with earlier degrees in math, physics and structural engineering from French institutions, he brings unusual physics-first intuition to signal processing and model architecture. Based in Berkeley, he excels at converting raw sensor signals into actionable outputs under strict latency and hardware constraints, and is equally comfortable bridging silicon, firmware, and cloud. Notably, his career path reflects a consistent trajectory from academic lab manager to product-focused leader who ships deployed autonomous sensing systems.
10 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Structural Engineering, Doctor of Philosophy (Ph.D.) Structural Engineering at University of California, Berkeley
Y Combinator
Bachelor's degree Mathematics and Physics, Bachelor's degree Mathematics and Physics at Jules Ferry, France
Master’s Degree Structural Engineering, Master’s Degree Structural Engineering at Ecole Normale Superieure de Cachan, France
English, French