Summary
Aviv Eisenschtat is a VP of AI with 11 years of experience designing and leading production-grade computer vision and mission-critical systems, currently shaping AI strategy and engineering at Trax Retail. He combines deep technical roots in C++, .NET and real-time systems from his IDF background with advanced academic training (MSc in Computer Science) to solve high-scale, low-latency problems. Aviv has progressed through algorithm development to executive AI leadership, consistently bridging research-grade deep learning with pragmatic software architecture and agile delivery. He emphasizes creative, out-of-the-box thinking and lean practices to drive robust, maintainable solutions across large and small systems. Notably, his early work on geo-centric and image-streaming frameworks for constrained networks informs his practical approach to deploying vision models in challenging production environments.
11 years of coding experience