Profile

Hi, I’m Théo.

As an AI Engineer, I build applications and tools that automate tasks, make data usable and bring in AI when it creates concrete value. Since 2021, I have worked on data and AI projects from scoping through to production.

Naturally curious, I enjoy understanding how teams work, exploring new technologies and turning an idea into a tool people can actually use. I also teach at university and share part of that experience.

Sports

Football
Padel
Strength training

Travel

Thailand
South Korea
Italy

Games

Chess
Teamfight Tactics
Rocket League
League of Legends
Board games

Experience

2024 -> Present

AI Engineer

Niort, FranceGroupe IMAPermanent position

Develop AI solutions that automate and augment the group's work, from document search to customer interaction analysis.
Real-time voice agent: designed a phone-based conversational agent that simulates calls for staff training.
Document search engines: designed and deployed search systems across large internal document collections.
LLM agents: developed AI agents connected to knowledge sources and business rules to support operational teams.
Voice analysis: processed and analysed recorded phone calls to identify contact reasons automatically.

2024 -> Present

Academic project supervisor

Niort, FranceUniversité de PoitiersGuest lecturer

Supervise undergraduate student projects focused on generative AI and its practical applications.
Provide technical guidance and mentoring to student groups.
Introduce key generative AI concepts, including retrieval-augmented generation (RAG) and AI agents.

2023

Data Analyst

Parma, ItalyParma Calcio 1913Internship

Completed an engineering-school internship with the data department at Italian professional football club Parma Calcio 1913.
Scouting dashboards: designed and developed interactive dashboards to monitor and analyse young players in the academy.

2021 -> 2024

Data Scientist

Niort, FranceGroupe IMAWork-study programme

Designed and developed data solutions to automate document analysis and improve data quality across the group.
Invoice analysis: automatically extracted key information (services, amounts and dates), ran quality checks and detected anomalies to help identify fraud.
Semantic reconciliation: developed an algorithm to align internal reference data with public SIRENE data, significantly reducing manual validation work.