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Pierre Chaumont

About me

An AI Engineer specialised in software engineering and based in Bordeaux, I design and ship local, open-source and self-hosted solutions that pair technical robustness with real business value. Along the way I have built document extraction APIs, chatbots wired to internal documentation (RAG), tool-using agents and large-scale data processing pipelines, and put AI systems into daily production use. I hold a master's degree in AI & Big Data, and I care about clarity, code quality and the collaboration between technical and business people. Curious and methodical, I like turning complex ideas into simple, reliable and understandable products.

Languages

Working languages.

  • French , Native
  • English
  • 2025

    • AI Engineer at FIDUCIAL

      Experience

      Jan 2025 to present 1 year 9 months

      Design of an API for processing unstructured documents, with parsing, classification and extraction. It runs in production at around 20,000 requests a month on notarial documents. Industrialisation of a shared RAG foundation, turned into business chatbots for the group's notaries, garages, pharmacies and its other lines of work. Design of an LLM orchestration API running on local models, with context handling and persistent memory, and of tool-using agents that drive services and data components in plain language, such as Matomo or Supabase. Plus the observability platform that goes with all of it.

  • 2024

    • "AI-Powered Software and System Design" certification

      Certification

      A DeepLearning.AI certification covering AI-assisted software architecture design, building and optimising databases with the help of LLMs, and applying advanced design patterns.

      Verify
    • "Introduction to Data and Data Science" certification

      Certification

      A 365 Data Science certification.

      Verify
    • "Introduction to Python" certification

      Certification

      A 365 Data Science certification.

      Verify
  • 2023

    • Data Scientist at Arkema, freelance

      Experience

      Oct 2023 to May 2025 1 year 8 months

      Run alongside the Scalian and then FIDUCIAL positions, with the employer's agreement and outside working hours. Building data pipelines and AI tooling, with quality follow-up and delivery on short timelines.

    • Data Scientist at Scalian

      Experience

      Nov 2023 to May 2024 7 months

      Within a five-person data team, design and industrialisation of an OCR pipeline extracting structured data from millions of handwritten cadastral plans, owning the move to production. Development of several AI-driven systems deployed on cloud infrastructure, among them a GitLab project analysis chatbot, automated unit test generation and urban pollution simulation.

  • 2021

    • Data Scientist at Arkema, apprenticeship

      Experience

      Sep 2021 to Sep 2023 2 years 1 month

      In the purchasing department, predictive machine learning models for supplier price evolution, wired to Power BI dashboards. A Python library automating SAP ETL workflows behind a graphical interface. And a dynamic web questionnaire application integrated with Microsoft Teams and driven by interaction data.

    • Master's degree in AI & Big Data, ESGI

      Education

      Sep 2021 to Jun 2023 1 year 10 months

      Deep learning, natural language processing, deep reinforcement learning, BI and Big Data, Spark and functional programming, cloud and automation for machine learning, IT project management and agile methodology.

    • Web developer at Université Claude Bernard Lyon 1

      Experience

      Feb 2021 to Apr 2021 3 months

      Development of a web application for ticket management and for booking time slots on a spectrometer.

  • 2020

    • Bachelor's degree in software architecture & project management, ESGI

      Education

      Sep 2020 to Jun 2021 10 months

      Python scripting, advanced C and Java, Node.js APIs, Angular front ends, unit testing, advanced algorithms, relational database design, artificial intelligence, Linux and agile project management.

  • 2019

    • Junior runner-up, Regional Youth Championship

      Award

      Échecs, C.R.M.L.E. The game stuck around, since the Bresse project makes an LLM play chess and chess_pytorch_ai tries to get a neural network to do the same.

    • Junior runner-up, ARA League Championship

      Award

      Chess, ARA League.

  • 2018

    • Associate's degree in IT services for organisations

      Education

      Foundations in software development, networking and information systems management.