Freelancer profile translated to English.
Back to original languageAbout Barthélémy
After aPhDin theoretical and computational physics and several post-doctoral positions (UPMC,CNRS), I specialized in data science, with particular expertise in computer vision and language models (LLMs). My know-how covers the entire process, from initial data exploration to thedeploymentand monitoring of modelperformancein production.
Lately, I've had the opportunity to carry out complex and varied projects based on LLMs and multimodal models. In particular, I developed systems for extracting data from handwritten documents and analyzing tweet sentiment in partnership with the INA. I master techniques such as modelfine-tuningand the implementation of advanced **RAG**.
In the realm of "classic" Deep Learning, I have also developedanomaly detectionsystems on production systems: identification of scratches on Swiss watches, detection of defects on leather parts or on bolts from the aeronautical industry.
For all these projects, my approach is based on the implementation of robustiterative protocolsto ensure the effectiveness and quality of the solution delivered to the client, even when the requirements are the highest.
Whether during my academic experience or my career as an AI engineer, I have collaborated closely with experimental teams and supervised interns and PhD students. I integrate easily into multidisciplinary teams and can quickly adapt to new topics.
Feel free to contact me to discuss your AI projects.
French
Native or bilingual
English
Native or bilingual
Spanish
Fluent
Can work on-site
Paris (up to 50km)
Experience
- Employeurs diversData scientistTECHMay 2023 - Today (3 years)Paris, France
Language Models (LLM)
*Data extractionfrom handwritten documents.*Sentiment analysisof tweets*Fine-tuning- Implementation ofRAG(Retrieval-Augmented Generation) systems
Computer Vision
*Object detectionto identify scratches on watches*Anomaly detectionto identify defects on leather parts and bolts in the aeronautical industry#Geospatial Data Science- Creation of adetectionalgorithm for forestfiresfromsatellitedata
Cross-functional skills
- Development of interactive datavisualization tools
- CNRS - Centre national de la recherche scientifiquePostdoctoral ResearcherNANO-TECHNOLOGYOctober 2021 - April 2023 (1 year and 6 months)Toulouse, France
Numerical study of magneto-electric coupling for the development of molecular-scale Qubits
Under the supervision of Prof. Guihéry and Dr. Suaud:*Developmentof a calculation code inPythonto automate data processing and mathematical rationalization of quantum calculations- Collaboration with experimental teams
- Institut des Sciences du Calcul et des données (ISCD) et Laboratoire de Chimie Théorique (LCT)Postdoctoral ResearcherCHEMICALMay 2018 - January 2020 (1 year and 8 months)Paris, France
Creation of mathematical and numerical tools for theoretical chemistry
Under the supervision of Dr. Giner, Dr. Toulouse, and Dr. Grigori:- Development of new mathematical theories and theirimplementationin anopen sourcecode (https://quantumpackage.github.io/qp2/)
- Handling and management of a large number of calculations and data
- Optimization of calculation routines involving high-dimensionaltensors
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Education
- PhD, PhysicsUniversité Paul Sabatier Toulouse III2017Doctorat, Physique
Certifications
- Machine Learning SpecializationCoursera2024