I am a Ph.D. holder in Computer Vision and Machine Learning, with over 20 years of professional experience in software engineering, software architecture, and software design.

 

I am currently the Head of AI at ActiveEon, Paris, France, where I lead a team of Ph.Ds in Artificial Intelligence (AI) and Machine Learning.

 

My expertise lies in computer vision, with a specialization in object detection, segmentation, and tracking, as well as event/action recognition and behavior classification/prediction.

 

As a Computer Vision Specialist with more than 10 years of experience, I am skilled in both C++ and Python programming languages. I am a proactive problem solver with a keen ability to self-learn and keep up with the latest technologies in my field.

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In my current role, I focus on the intersection of scientific research and software engineering to bring cutting-edge AI technologies to the core platform of ActiveEon. My main areas of focus are AI at Scale, HPC+IA, and MLOps.

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My team and I have been developing the Proactive AI Orchestration platform since 2017, which has helped customers automate and orchestrate AI-based workflows at scale, with parallel and distributed execution.

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As the Head of AI, I am responsible for defining the AI roadmap, supporting team members, and driving key AI projects. My activities include end-to-end AI product design, architecture, and operation, as well as the development of large-scale AI workflows.

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I have also developed a Distributed AutoML tool for large-scale hyperparameter optimization and neural architecture search, as well as the Proactive Python SDK and Jupyter Kernel for submitting runtime dynamic AI workflows.

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My doctoral research focused on advanced matrix and tensor methods for robust low-rank/sparse representation and subspace learning of multidimensional and streaming data, such as moving object detection and background-foreground separation in multi-spectral and multi-featured video sequences.

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Additionally, I have deployed computer vision and machine learning models at the edge on system-on-a-chip (SoC) devices such as Raspberry PI, PandaBoard, and NVIDIA Jetson boards.

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Prior to my current role, I worked on several embedded systems and robotic projects between my B.Sc. and M.Sc.

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I have also peer-reviewed for several high-quality journals and reviewed for international conferences/workshops.

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If you would like to know more about my AI research experience, please see my projects, or my CV.