Summary
László Benke is an independent machine learning and computer vision engineer with nine years of experience architecting edge-centric AI and IoT solutions across manufacturing, healthcare, smart cities and autonomous systems. He combines an M.Sc. in Embedded Systems with hands-on expertise deploying real-time inference on platforms like NVIDIA Jetson, Intel Movidius and Raspberry Pi, and is fluent in TensorFlow, PyTorch, OpenCV, DeepStream and Triton. As a freelancer he has delivered 60+ projects from R&D to production, optimizing latency, security and reliability for constrained devices while integrating hybrid cloud-edge workflows (AWS/Azure/Google IoT). Beyond typical model work, he brings electrical and embedded systems know-how—PCB and firmware-aware engineering—that smooths the path from prototype sensors to scalable deployments. Open to contract roles, he often pairs mentoring and training (Udemy, Codementor) with client work, making him equally at home teaching dataset preparation and shipping production pipelines.
9 years of coding experience
6 years of employment as a software developer
final exam, Informatics, final exam, Informatics at Csány László Economic Secondary School, Zalaegerszeg
Master of Science - MS, Embedded Systems, Master of Science - MS, Embedded Systems at Budapest University of Technology and Economics
English, Hungarian, Spanish