A senior engineering team for problems that resist easy answers.

Dr. Regev brings more than 26 years of algorithm-development experience across radar and LIDAR signal processing, computer vision, multi-target tracking, radar micro-Doppler, deep-learning-based classification, optimization, and statistical signal processing.

He holds a Ph.D. in Electrical Engineering from Ben-Gurion University of the Negev, where his research focused on radar remote vital-sign sensing and target recognition. He also serves as an Adjunct Professor at Cal Poly Pomona's Electrical and Computer Engineering Department.

Guy Regev is a veteran of the semiconductor design industry with more than 24 years of management and hands-on expertise across chip, FPGA, firmware, and software design.

His experience spans architecture through productization, including successful time-crunched tape-outs and flagship product introductions for processors, DSPs, AI/ML accelerators, cellular baseband SoCs, switch ASICs, vector processors, and array processors.

Karan Jakhar is a senior AI engineer with broad experience across computer vision, deep learning, and LLM/VLM systems, spanning AI solution architecture, model development, production deployment, and end-to-end MLOps. His work covers object detection, multi-object tracking, anomaly detection, agentic AI workflows, and real-time inference at scale.

His deployment stack includes NVIDIA DeepStream, TensorRT, CUDA, Jetson edge hardware, and vLLM-based model serving, with strong emphasis on model quantization, inference optimization, production monitoring, and automated retraining pipelines.