About Thomas
- Relational ease, good communication and active listening,
- Work ethic and Empathy,
- Adaptability, Fast learning and Attention to detail.
- Consultant for your AI projects,
- Processing, analysis, visualizations and above all valorization of your data,
- Training and optimization of Machine Learning or Deep Learning models,
- Testing, continuous integration of your models,
- Deployment in production,
- Mastered frameworks: scikit learn, tensorflow, pytorch, pandas, polars.
- Django, Django Rest Framework, FastAPI or Flask,
- CI / CD: Docker, tests (pytest, coverage), continuous integration (pre-commit),
- Possibility of creating a graphical interface (front) in streamlit, simple but effective,
- Best practices (software craftsmanship): documentation, clear code, robustness, maintainability.
- Analysis of algorithm complexity,
- Asymptotic evaluation,
- Memory resource optimization,
- Computation time optimization.
- Stochastic programming, dynamic programming, linear programming,
- Scheduling.
French
Native or bilingual
English
Native or bilingual
Experience
- DECIDENTOFullStack Data ScientistMarch 2024 - April 2024 (2 months)Grenoble, FranceDevelopment of a text processing software with AI (NLP) to classify titles into categories. This software needed to be accessible via a web interface and also via an API to be integrated into Decidento's internal processes.I fully developed the solution with the following features:- Processing and cleaning of client data- Choice of Machine Learning model, training, prediction, evaluation- Setup of a Python / FastAPI backend- Setup of a streamlit frontend- Features available on the front: data editing, predictions with the trained model, model retraining- Deployment with docker and docker-compose
- THENTIK
On Malt
Data Scientists and algorithm optimizationJanuary 2024 - February 2024 (1 month)Grenoble, France- Addition of statistical studies of user data,- Addition of Django APIs,- Optimization of algorithm execution time,- Optimization of Django ORM calls,- Build and deployment with Docker - KAIZEN SolutionsDoctor Engineer Scientific SoftwareDIGITAL AND ITJanuary 2021 - January 2024 (3 years)Montbonnot-Saint-Martin, FranceI wore several hats at Kaizen-Solutions:1. AI Researcher:- Object detection on images in Deep Learning (Image Detection, Segmentation, OpenCV, Pytorch, Yolo, Tensorflow, Transformers, Docker)2. Engineer for Scientific Application at EDF:- Needs analysis, software architecture- Performance optimization- Python (Numba, CPython), C++, Docker3. Creation of the Kaizen-School entity for supervising interns within the KZS Lab4. Head of the Data & Algorithms Department:- Sharing of technical topics between engineers and Data professionals5. Trainer in Python and Machine Learning
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Education
- Doctor in Machine Learning (mathematics / computer science)Collège Doctorale - Université Grenoble Alpes2020Thèse réalisée à l'Inria (LIG). Sujet : Acquisition, analyse et prédiction des états mentaux de joueur-euse-s d'échecs en observant leurs mouvements corporels, leurs émotions et leur regard.
- Computer Engineering specialized in Information Systems EngineeringEnsimag Grenoble2016