Summary
Dennis Filimonov is a Deep Learning Engineer with 11 years of software engineering experience, currently developing model optimization and deployment tooling at Mobileye. He specializes in AI compiler technologies and productionizing deep learning workloads—quantization, pruning, weight compression, semi-supervised and active learning—using Python, TensorFlow/Keras and AWS. Prior to Mobileye he led a C++ team at Intel building cross-platform security APIs and low-level hardware-backed security libraries, combining hands-on coding with Scrum leadership. His background spans embedded real-time systems to cloud-based ML pipelines, giving him a strong systems-to-models perspective that helps bridge algorithmic research and efficient hardware deployment. Trained at Technion, he brings a pragmatic focus on performance, robustness and reproducible model delivery in resource-constrained environments.
10 years of coding experience
7 years of employment as a software developer
BSC, Computer Science (4 Years), BSC, Computer Science (4 Years) at Technion - Israel Institute of Technology