Summary
Ran Bezen is a Senior Computer Vision Deep Learning Researcher with eight years of hands-on R&D experience building efficient DL and ML solutions for vision, audio, voice, and tabular data. Based in Tel Aviv, he has delivered production-focused models for low-power, low-memory hardware across companies like Synaptics and DSP Group and now advances visual commerce at Trigo. He holds an M.Sc. in Data Science from Ben-Gurion University and is pursuing a PhD in AI Computer Vision, reflecting a mix of rigorous academic research and practical deployment. Known for squeezing state-of-the-art detection and pose models into constrained environments, he brings a pragmatic, cross-domain perspective that bridges embedded systems, sound processing, and precision agriculture applications.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, AI Computer Vision, Doctor of Philosophy - PhD, AI Computer Vision at Ben-Gurion University of the Negev