Thomas Lacombe

Machine Learning Engineer
(AI & Software Systems)

About

Thomas Lacombe

Engineering graduate from Mines Saint-Étienne, specialized in Data Science & AI, I now work as an AI Engineer on a permanent contract at SIA, following my final-year internship at Dassault Aviation.

My technical background has enabled me to lead concrete projects in Computer Vision, NLP, RAG (text & multimodal), classification, LLM agents, Reinforcement Learning, OCR and Time Series, as well as full-stack software development and production deployment (FastAPI, Docker, CI/CD, MLOps).

Curious and driven, I look to apply my Data Science skills to ambitious projects where technology meets real-world impact.

Based in the Paris area, I enjoy tackling new technical challenges and collaborating with cross-functional teams to bring AI solutions from prototype to production.

Employed
Montrouge (92120)

Skills

AI & Data Science

Machine Learning Deep Learning LLM NLP RAG Systems Computer Vision Reinforcement Learning Statistics Prediction OCR XGBoost VLM Time Series Multimodal AI

Programming

Python ♥ SQL TypeScript C Java R HTML CSS

Frameworks & Libs

FastAPI Pydantic TensorFlow / PyTorch Scikit-learn Pandas OpenCV NumPy Streamlit Matplotlib Selenium Stable-Baselines3 Gymnasium React LangChain FAISS Hugging Face

Tools & DevOps

Traefik Docker Git CI/CD CUDA Linux Multithreading WandB GitHub Actions Jupyter n8n Expo Poetry Conda

Languages

French Native
English C1
Spanish B2
Japanese A1

Office & Others

Power BI Microsoft Suite SolidWorks Photoshop Driving License (B) - Vehicle Owner

Experience

AI Engineer – Full-time

SIA Partners

Paris June 2026 — Present
View details
  • Design of text and multimodal RAG architectures, including comprehensive benchmarking at different scales to optimize ingestion (chunking) and retrieval strategies.
  • Integration of memory-optimized vector search algorithms (like DiskANN) to handle indexing and semantic search across very high volumes of data.
  • Development of robust and asynchronous RESTful APIs using FastAPI, with strict data modeling via Pydantic.
  • Secure backend deployment via Traefik (dynamic routing, SSL certificate generation), and containerization of AI pipelines for future scalable cloud deployments.
PythonRAG SystemsLLM FastAPIPydanticTraefik Multimodal AI
01 SIA
2026
2025
02 Dassault

Data Scientist Intern – Artificial Intelligence

Dassault Aviation

Saint-Cloud March 2025 — September 2025 · 6 months
View details
  • Development and deployment of AI solutions to improve Purchasing Department performance.
  • Implementation of classification models (decision trees, gradient boosting, neural networks), data extraction via OCR, and development of programs to simplify processes.
  • Work on LLM projects, specifically implementing RAG (and auto-RAG) systems to facilitate information access and optimize decision-making.
  • Tool containerized and deployed via Docker, with a simple UI (Streamlit) accessible via web browser.
  • Web scraping (using Selenium) to populate knowledge bases.
  • Presentation of results in Power BI linked to Dassault data via SQL queries.
PythonLLMRAG Systems DockerStreamlit OCRPower BI SQLSelenium

CAD Design Engineer Intern

MGF Grimaldi

Grenoble May — August 2024 · 3 months
View details
  • 3-month Assistant Engineer internship in the Methods Bureau at MGF Grimaldi:
    – Creation of fixtures adapted for high-precision machining (SolidWorks)
    – 3D part reproduction
    – 3D printing of parts/prototypes
    – Reading/Creation of blueprints
SolidWorks3D Printing Technical BlueprintsPrecision Machining
03 MGF
2024
2022—2024
04 JE Mines

Business Manager

Mines Études et Projets

Saint-Étienne December 2022 — May 2024 · 1.5 years
View details
  • Served as Business Manager and Project Manager within the school's Junior Enterprise.
    – Define and lead studies submitted by companies to our Junior-Enterprise.
    – Manage administrative phases: scoping, proposal, budgeting, signing...
    – Manage teams of consultants.
    – Manage stakeholders with different profiles and expectations.
    – Participated in the National Junior-Entrepreneur Congress.
Project ManagementBusiness Development Consulting

Production Operator Intern

Tecumseh

Cessieu January — February 2023 · 1 month
View details
  • Internship as a production operator:
    – Production on various machines in the machining workshop.
    – Quality control of parts.
    – Machine maintenance.
ManufacturingQuality Control Machine Operation
05 Tecumseh
2023

Education

2022–2025

Major in Data Science & AI - Mechanics Option (MSc in Engineering)

École Nationale Supérieure des Mines de Saint-Étienne

Saint-Étienne September 2022 - October 2025
View details
3rd Year – Data Science Major:
Courses: Probabilistic foundations, statistical learning, machine learning, metamodeling and optimization, artificial intelligence.
Projects: Pedestrian detection for Thales via ML, reconstruction of radiation-noised images using deep learning.

2nd Year:
Courses: Semester at Seoul National University, transition management.
Electives: Entrepreneurship, economics, design thinking.
Project: CAD design of an autonomous production and breeding module.

1st Year – Core Curriculum:
Courses: Physics (materials, thermodynamics, fluid mechanics, continuum mechanics), Computer Science (C, Java, Python, SQL, algorithms), Mathematics (statistics, OR, signal processing), marketing, economics, corporate law, sustainable development.
Projects: Solar power plant study (PRO II software), mechanical energy vehicle design, app creation for HPSE charity.
Machine Learning Deep Learning Python Data Science Statistics SolidWorks
Mines
SNU
2023–2024

International Exchange (6 months)

Seoul National University (South Korea)

Seoul, South Korea September 2023 - January 2024
View details
Academic exchange semester in the Mechanical Engineering department:
- Numerical analysis in mechanical engineering
- Robot mechanics
- Market finance
Numerical Analysis Robotics Finance International
2020–2022

CPGE Scientific Preparatory Classes PTSI-PT*

Lycée Vaucanson Prep School (Grenoble)

Grenoble September 2020 - July 2022
View details
Fundamentals in engineering fields (Mathematics, Physics, Engineering Sciences, Computer Science) to prepare for competitive entrance exams for French "Grandes Écoles".
Mathematics Physics Engineering Sciences Computer Science Algorithms
Prépa PT*

Projects

Contact Me / CV

Email My Resume LinkedIn GitHub
Back to top