May 2017 – Dec 2017 · 7 mos · Boulogne-Billancourt, Île-de-France, France

• + As an external consultant, I supported the Datalake team in establishing robust processes for big data ingestion at a production scale.
• + I concentrated on securing the ingestion and transformation of complex, evolving data structures within the Hadoop ecosystem.
• + I played a key role in deploying secure and efficient machine learning pipelines into production on the Datalake.

Mar 2017 – Nov 2025 · 8 yrs 8 mos · Région de Paris, France

• I founded Polynom in 2017 to bridge the gap between strategic consulting and the creation of tangible business value through AI. From the outset, our ambition has been pragmatic and impact-driven: delivering measurable results by optimizing operations, reducing costs, and enabling sustainable growth.
• In an increasingly unstable geopolitical environment, AI-driven transformation cannot be dissociated from pragmatic digital sovereignty. We help enterprises secure their critical capabilities — data, models, infrastructure, and workflows — while preserving economic efficiency and operational agility. This sovereignty is engineered, not ideological, and relies on Infrastructure-as-Code (IaC)–driven terraforming to build resilient, auditable, and portable AI platforms that reduce strategic dependencies.
• At Polynom, we design and deploy AI solutions with a clear P&L focus, increasingly leveraging large language models and agentic AI systems. These technologies enable a shift from isolated AI use cases to AI-enabled execution: automating workflows, orchestrating complex business processes, and continuously improving decision-making across core functions.
• We specifically target large-scale business transformations, where agent-based architectures redefine how work is performed. These transformations are human-centric by design, systematically integrating human-in-the-loop mechanisms to ensure control, accountability, regulatory compliance, and sustained performance. Agents augment human expertise, enabling higher throughput, better quality, and faster execution at scale.
• As Founder and Co-CEO, I lead Polynom’s strategy and R&D with a clear mission: make sovereign and agentic AI a concrete, secure, and durable driver of performance, deep business transformation, and long-term value creation.

Oct 2015 – Feb 2017 · 1 yr 4 mos · Région de Paris, France

• + Directed a team of six engineers and researchers to develop and launch the Artificial Intelligence Engine known as "Stories" for the Ysance Data Marketing Platform, enhancing major global retailers' capabilities in tracking and predicting customer intentions.
• + Developed and deployed robust, data-intensive pipelines and visualizations utilizing various predictive analytics to support strategic decision-making.
• + Collaborated closely with the Customer Success team to tailor solutions for leading retailers such as Decathlon, Auchan, and Sephora, ensuring their specific needs were met effectively.
• + Responsible for drafting the Research Tax Credit (CIR) documentation, facilitating the funding of significant applied research projects in areas including Deep Learning for French enterprises.

Jun 2014 – Oct 2015 · 1 yr 4 mos · Région de Paris, France

• + Implemented Data Science initiatives at Ysance DMP in the role of an external consultant.
• + Developed and transitioned multiple predictive models and data visualizations into production for our Data Marketing Platform, utilizing Machine Learning, Natural Language Processing, and probabilistic methods.
• + Established the groundwork for the forthcoming Data Science Lab.

Oct 2012 – Sep 2015 · 2 yrs 11 mos · Région de Paris, France

• Algorithms & Complexity Team

Oct 2012 – Aug 2014 · 1 yr 10 mos · Région de Paris, France

• Java for Bioinformatics, Algorithms, Discrete Mathematics, Introduction to Programming

Sep 2012 – Aug 2013 · 11 mos · Région de Paris, France

• Algorithms and Programming