Clodéric Mars

VP of Engineering - AI Redefined (www.ai-r.com)

• Hired and directed a distributed team of 16 engineers and researchers, achieving 40% annual growth. Introduced OKR- and Agile-inspired tools and processes for priority alignment, resource allocation, and feedback, supporting business objectives while fostering a culture of empowerment and collaboration.
• Transitioned the team’s focus from technological prototypes to enterprise AI products, adopting an open-core SaaS approach that generated ~$1.5M ARR.
• Led the design and training of decision-making AI agents collaborating with humans, leveraging deep reinforcement learning, large language models, and symbolic AI. Applied evidence-based, data-driven methodologies to solve complex real-world problems, enabling successful AI product deployments and contributing to 9 peer-reviewed publications and 3 patents.
• Managed collaborations across industries including aerospace and defense (e.g. Thales (www.thalesgroup.com), CAE (www.cae.com), and NAV CANADA (www.navcanada.ca)) ; energy (e.g. RTE (www.rte-france.com)) ; manufacturing (e.g. Renault (www.renaultgroup.com)) ; and academia (e.g. the University of Alberta (www.ualberta.ca), MILA (mila.quebec), and IRT SystemX (www.irt-systemx.fr)).

Skills: Reinforcement learning, Deep learning, Large Language Models, Simulation, Python, Go, Javascript, Kubernetes, AWS, Azure.

Freelance AI engineer - AI Redefined

Starting position at AI Redefined as a freelancer before moving to Canada.

Co-founder & CTO - craft ai (www.craft.ai)

• Cofounded and scaled the company to 20+ employees, securing ~9M€ in funding.
• Directed product development and research teams, managing budgets, roadmaps, and resources to generate ~1M€ ARR and deliver 5 peer-reviewed papers.
• Led the architecture and development of an explainable AI SaaS for time series modeling & forecasting, enabling trustworthy personalized decision support and automation across industries.
• Deployed the product across ~10 AI projects, primarily in the energy sector, including with EDF (www.edfenergy.com) and Total (www.totalenergies.fr), resulting in significant operational optimizations for end-users.

Skills: Explainable AI, Machine learning, Data science, Python, Rust, Javascript, Kubernetes, Kafka, AWS, Azure.

Lead Software Engineer & Product Manager - MASA Group (masasim.com)

• Managed a team of ~5 software engineers across Paris and Munich, aligning priorities and resource allocation with company leadership to meet project goals.
• Architected and developed an AI agent authoring tool and runtime, featuring behavior tree & spatial reasoning engines. Empowered instructional and game designers to create AI agents for simulations and video games, creating key intellectual property that later became the foundation of craft ai.

Skills: Game AI, Computational geometry, Simulation, Qt, C++.

R&D Software Engineer - Golaem (acquired by Autodesk) (golaem.com)

• Led the development of the navigation engine for virtual crowds, industrializing research prototypes and algorithms developed at Inria.
• Delivered diverse applications of crowd simulation technology, including train car evaluation for SNCF (www.groupe-sncf.com), real-time virtual city population with Dassault Systèmes (www.3ds.com) and crowd simulation for a historical documentary with Mikros (www.technicolor.com/studios/mikros-animation/). These efforts contributed to the leading crowd simulation product for the animation and VFX market.

Skills: Game AI, Computational geometry, Simulation, Qt, C++.

R&D Software Engineer - Inria (www.inria.fr)

Starting position at Golaem as a member of the Bunraku (www.irisa.fr/bunraku) team.

Software Engineer - Teamlog (acquired by Open) (www.open.global)

• Developed a toolchain to create virtual cities for Orange (www.orange.fr), resulting in pedestrian-level digital recreation of Paris and Barcelona.
• Developed a contribution system for PagesJaunes.fr (www.pagesjaunes.fr), enhancing the platform’s user engagement.

Skills: Geographic information systems (GIS), Computational geometry, Simulation, Qt, C++, Java.

Contributor - The Good AI

• Contributed written content about responsible AI.

Data Scientist (volunteer) - APHP (www.aphp.fr)

• Supported early COVID-19 epidemiological studies by extracting & preparing data.

Skills: Data science, Python, Apache Spark.

Track chair - nucl.ai

• Curated content, managed speakers and presented tracks at a yearly AI developer conference.

MEng (Diplôme d'ingénieur) in Computer Science - INSA de Rennes (www.insa-rennes.fr)

Engineering program, with a specialization in computer science.

MSc in Artificial Intelligence & Computer Graphics - Université de Rennes 1 (www.univ-rennes.fr)

Academic curriculum focused on Artificial Intelligence, including machine learning and symbolic reasoning, & Computer Graphics, including virtual reality and animation.

Member of Inria (www.inria.fr)'s Bunraku (www.irisa.fr/bunraku) team, advised by Fabrice Lamarche.