Montréal, QC
Canada
Since 2006, I have been deeply committed to a singular goal: fostering the collaboration between humans and AIs. Throughout my career, I have significantly contributed to various projects where AI augments human expertise. These projects include enhancing movie production with AI-driven characters, optimizing transportation infrastructure through simulation & data analysis, developing effective & realistic training simulations, and improving the efficiency of energy infrastructure operations.
I excel at bridging the gap between cutting-edge research and B2B applications. My leadership spans recruiting and guiding teams of engineers and researchers within high-pressure, deep tech startup environments. I design strategic product roadmaps and spearhead collaborative R&D programs, always ensuring I remain hands-on with technical architecture and coding.
A generalist software engineer, my competencies include human-in-the-loop systems design, applied AI, distributed cloud architecture, and full-stack development. I am also an effective communicator, proficient in both French and English, capable of articulating complex ideas clearly and persuasively.
VP of Engineering - AI Redefined (www.ai-r.com)
Freelance AI engineer - AI Redefined
Contribution & coordination of the open source release of Cogment v1.
Co-founder & CTO - craft ai (www.craft.ai)
Lead Software Engineer & Product Manager - MASA Group (masasim.com)
R&D Software Engineer - Golaem (golaem.com)
R&D Software Engineer - Inria (www.inria.fr)
Development of a 3d simulation engine and industrialization of a navigation engine for virtual crowds: C++, Qt, Ogre3d, Computational Geometry, Game AI.
Software Engineer - Teamlog (acquired by Open) (www.open.global)
AI Research Intern - Inria (www.inria.fr)
Member of the Bunraku project-team (www.irisa.fr/bunraku), advised by Fabrice Lamarche. Environment representation formalism for crowd simulation using semantic & topologic abstraction of navigation graphs.
Contributor - The Good AI
The Good AI was a plateform and a collaborative media focused on responsible application for AI. I contributed written content for the website.
Data Scientist (volunteer) - APHP (www.aphp.fr)
Data extraction and preparation for epidemiological studies of the first COVID-19 patients in Paris hospitals: Python, PostgreSQL, Apache Spark, data science.
Track chair - nucl.ai
nucl.ai was a yearly AI developper conference, for 2 years I was track chair: content selection & refinement, speakers management and presenter. In 2016, I was in charge of the "Cognition, Bots & Understanding" track (cognition, bots & compréhension - with speakers from Snips, Recast.AI, IBM Watson and others); in 2015, de "Agent Behaviors" track (with speakers from Square Enix, Creative Assembly, Bohemia Interactive Simulations and others).
MEng (Diplôme d'ingénieur) in Computer Science - INSA de Rennes (www.insa-rennes.fr)
2 years of general scientific and engineering courses followed by 3 years of computer science specialization.
MSc in Artificial Intelligence - Université de Rennes 1 (www.univ-rennes.fr)
Academia-oriented 1 year curriculum with a focus on Artificial Intelligence, including machine learning and symbolic reasoning, in collaboration with Inria (www.inria.fr).
Full list on Google Scholar (scholar.google.com/citations?user=fvCC1rwAAAAJ)