Hi, I'm Thomas Chambon

AI Data Scientist (6+ years of experience) specializing in Computer Vision, NLP, and Deep Learning.
Heavily invested in Generative AI, I develop advanced personal projects focused on AI Agents (LangChain/LangGraph, MCP server).
My background bridges the gap between scientific rigor (Ph.D., international publications) and industrialization, with proven experience deploying complex models on HPC infrastructures and scaling applications to 1,000+ active users.

Thomas Chambon
Contact Me!

My main skills

AI & Deep Learning

PyTorch, TensorFlow, Hugging Face, Scikit-learn

Gen AI & AI Agent

LangChain/LangGraph, Ragas, Gradio, MCP server, LLM, RAG

Big Data & Visualization

Dataiku, Matplotlib, Pandas, Seaborn, Tableau

Databases & Data Modeling

PostgreSQL, MongoDB, Neo4j (graph modeling), Chroma DB (vector database)

Mobile Developpement

Design and development of an IoT-based mobile tracking application for urban mobility.
Used by 1,000+ users
(Android/iOS)

MLOps

Docker, MLFlow, SLURM, AWS (EC2, S3)

NLP

LLMs, SpaCy, Gensim

Development Practices

Agile/Scrum methodology, Git, SVN

My Publications

  • 2024: T. Chambon, U. Soulat, J. Lallement, and J. Guillaume, “L'effet de la complexité visuelle de l'information sur l'intention et le comportement de mobilité urbaine” in INFORSID 2024 (Nancy)
    Available here!
  • 2023: Mesure des effets de la complexité de l’information sur les intentions et les comportements de mobilité urbaine : Construction d’un outil d’aide au changement de comportement. THESIS
    Available here!
  • 2023: T. Chambon, J.-L. Guillaume, and J. Lallement, “Information complexity ranking: A new method of ranking images by algorithmic complexity” Entropy, vol. 25, no. 3. (SJR Q2 / IF 2.1)
    Available here!
  • 2023: T. Chambon, U. Soulat, J. Lallement, and J. Guillaume, “The effect of visual information complexity on urban mobility intention and behavior” in RCIS 2023, Proceedings. (CORE ranking B)
    Available here!
Visit my Google Scholar profile

My Certifications

  • LangChain Foundation - Introduction to LangChain - Python
    Available here!
Ecomob project
Research
Ecomob Project

In the context of sustainable mobility, how can information have an impact on user behaviour?

PhD student
Video presentation of ecomob project
Scientific communication

Presentation video of my research work in the ECOMOB project with Ulysse Soulat

Click to watch the video!
FFPTS2020
Scientific communication
FFPTS 2020

Popular science film festival

Scriptwriting and shooting of a short film

Click to watch the short!
CardMaster AI: RAG System for CCG Strategy
Personal Project
CardMaster AI: RAG System for CCG Strategy

CardMaster AI is a high-performance Retrieval-Augmented Generation (RAG) assistant. It is specifically engineered to help Magic: The Gathering and Hearthstone players navigate complex rules, analyze deck synergies, and monitor market trends with low-latency responses.

Click to view the project!
PhD seminar of the French computer science society
Scientific conference
Société informatique de France 2021 doctoral students' seminar

National event for France's young researchers in computer science

Presentation of my thesis work
PFIA2024
Other
PFIA 2024

French conferences on AI

Member of the organizing committee in charge of sponsorship and website
Young researchers seminars logo (generated by DALL-E 3)

Seminars for young researchers

In 2024, I organized seminars to discuss scientific issues in general (epistemology, scientometrics, ethics). I also invited researchers to share their work and research methods in computer science, mainly with young researchers.

  • January 2024: Seminar on ontology and knowledge graphs by Georgeta Bordea

Contact

Don't hesitate to contact me!

thomaschambon

chambon.thomas.pro

Thomas-Chambon

Thomas Chambon

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