I combine deep technical expertise with a proven track record of developing and then transforming research breakthroughs into deployed products. Over the past 14 years at companies like Valeo, Intel Labs, and Qualcomm, I've led and built high-performing teams that deliver robust AI solutions at scale.
My background spans both pure research and applied engineering, validated through peer-reviewed publications, patents, and successful commercial deployments. I've pioneered computer vision and deep learning innovations deployed in consumer devices, developed novel algorithm-hardware co-design approaches for efficient AI, and led teams advancing autonomous vehicle systems.
Beyond industry, I served as a Machine Learning Lead at NASA's Frontier Development Lab, where teams under my mentorship have achieved recognition at NeurIPS for breakthrough work in solar physics. As an AI educator and speaker, I'm passionate about making complex technical concepts accessible to diverse audiences, from technical teams to business leaders. My mission remains constant: pushing the boundaries of AI while making its innovations accessible and impactful across industries.
Technical expertise includes:
Computer Vision: Leading advancements in VLMs, NeRF, Gaussian splatting, real-time 3D reconstruction, object tracking, BEV projection and multi-camera systems.
Foundation Models: Driving innovations in LLM/LMM pretraining, fine-tuning, and optimization.
Deep Learning Algorithms: Pioneering research in mixed-precision neural network training, neural architecture search, and multi-task learning, focusing on efficiency and scalability.
