Summary
Yotam Azriel is a founder and CEO with six years of focused experience turning deep learning research into production-ready tooling for explainability and debugging. He built Tensorleap to give AI teams visibility into model failure modes and data-driven root causes, addressing the practical gap between model accuracy and understandability. His background ranges from designing long-range visual recognition systems for autonomous vehicles to high-throughput AdTech pipelines and real-time signal-processing in defense contexts, reflecting strong low-level engineering and systems instincts. Comfortable across TensorFlow internals, C++ algorithmics, and large-scale data engineering, he combines research rigor with product-first execution. Based in Israel, he’s driven by the conviction that better AI comes from explainability, not just bigger models.
6 years of coding experience
12 years of employment as a software developer
Hebrew, English