Hey! I am Thomas ! I am a French AI enthusiast passionate about building innovative projects. Graduated with a Master of Engineering in Computer Science and Cognitive Science, I love be part of ambitious team trying to solve complex problems thanks to AI. If something here resonates with you, let’s connect! Feel free to reach out—whether you just want to chat or collaborate on ideas and projects. Don’t hesitate to reach me out if you want to discuss about any of these topics or if you just want to chat !
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Machine Learning Research InternCea-List Apr 2024 - Sep 2024Saclay, Île-De-France, FranceAt CEA Paris-Saclay, a leading global research center, I contributed to the DSCIN team in the LECA laboratory, specializing in Electronic Design Automation (EDA) and hardware design, with a focus on advancing machine learning for hardware code generation.Key contributions include:• Developed LLM-based systems using QEMU to automate hardware architecture code generation in collaboration with the hardware design team.• Created a Python package using PyTorch and Transformers to benchmark multiple LLMs (Llama 3.1, Gemma 2, Codestral), managing over 1,000 daily tests on a GPU cluster.• Improved model performance through in-context learning and chain-of-thought prompting, boosting accuracy by 61%.• Launched an internal initiative to facilitate error handling by building a compilation error clustering tool.• Co-authoring a publication (in preparation) to present our evaluation methodology and results. -
Machine Learning Engineer InternTotalenergies May 2023 - Sep 2023Pau, Nouvelle-Aquitaine, FranceAt TotalEnergies OneTech, the company’s innovation hub for energy technologies, I worked within the DATALAB team, a group dedicated to leveraging data science and machine learning to solve real-world challenges for the entire company. My role focused on enhancing Named Entity Recognition (NER) models and building LLM-based solutions to improve search technologies (research context).Key contributions include:• Benchmarked fine-tuning methods for NER using Large Language Models (LLMs) and BERT, improving extraction accuracy by 15% on real-world datasets.• Developed a proof of concept (POC) with LangChain and Llama2-13B using Retrieval-Augmented Generation (RAG) to enhance Neural Search Engine solutions.• Deployed Llama2-13B/70B models on NVIDIA-DGX (A100) GPUs with CUDA/PyTorch, reducing inference time by 40%. -
Software Engineer InternThales Jun 2022 - Aug 2022Bordeaux, Nouvelle-Aquitaine, FranceAt Thales AVS, a leader in defense and aerospace technologies, I contributed to the development of critical software components for simulation systems, specifically for the Mirage 2000-C flight simulator. My role focused on real-time data acquisition to enhance simulation accuracy and performance.Key contributions include:• Integrated new hardware into the Mirage 2000-C flight simulator.• Developed real-time data acquisition modules in Java and Lua, ensuring precise data integration for the Mirage 2000-C flight simulator software. -
Science Private TutoringGostudent Sep 2021 - Jul 2022Bordeaux, Nouvelle-Aquitaine, France
Thomas Chimbault Education Details
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Specialization Data Science And Artificial Intelligence, Computer And Cognitive Science
Frequently Asked Questions about Thomas Chimbault
What is Thomas Chimbault's role at the current company?
Thomas Chimbault's current role is ex-ML Research Intern @CEA-List | AI & Human Interaction | Entrepreneurship | Cognitive & Computer Science Engineering @Bordeaux INP - ENSC.
What schools did Thomas Chimbault attend?
Thomas Chimbault attended Ensc - Bordeaux Inp.
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