Available to hire
Hello !
I’m a Machine Learning Engineer and Full-Stack Developer with over 10 years of experience.
I am able to handle your data science projects, web application development, and web scraping across their entire lifecycle:
- Development and implementation of machine-learning algorithms and deployment of AI agents 🧠
- Implementation and use of LLM models and AI agents (including deployment on a dedicated private server if needed)
- Web application development (front-end and back-end) 🖥️
- Server deployment and production release 🚀
- Web scraping 🕸️
I previously studied at École Centrale Paris, where I specialized as a Data Scientist.
Main technologies and frameworks used:
- Data science and machine learning: Python, LLMs, GPT, Scikit-learn, NumPy, SciPy, Pandas, Plotly
- Web tools and frameworks: Django, Django REST API, Vue, Nginx, uWSGI, Nuxt.js
- Web scraping: Python, Requests, Selenium, BeautifulSoup
In parallel, I am also a Mentor in the Data Scientist program at OpenClassrooms, where I regularly support students throughout their training.
Experience Level
Language
French
Fluent
English
Advanced
Spanish; Castilian
Advanced
Work Experience
Data Scientist / Fullstack developer at Saint-Gobain
January 1, 2023 - December 31, 2025Development of new features related to the coatifier (glazing) within a web application:
- Prediction of the light spectrum transmitted through a glass pane based on the characteristics of the glass sheet;
- Integration of AI models into the web application.
Environment:*Python, Pandas, Scikit-learn, NumPy, SciPy, Django REST API, and Vue.js
Machine learning engineer at Angelaw
January 1, 2023 - July 31, 2023Development of an AI microservice for a legal contract management platform:
- Extraction of raw text from legal documents (PDF, DOC, DOCX, scans), notably using OCR techniques;
- Development of an artificial intelligence algorithm to extract key information from legal contracts: start and end dates, contract type classification, contracting parties (company name, SIREN, address, etc.);
- API for suggesting information extracted from documents and used by the web application;
- Integration of the GPT API (used by ChatGPT).
AI engineer at Science Feedback
January 1, 2022 - December 31, 2024As a data scientist, I contributed to:
- The implementation of web scraping algorithms to automatically retrieve a list of articles on a daily basis from predefined websites;
- The design and implementation of similarity models between different documents, using syntactic and semantic similarity techniques based on neural networks (BERT). These machine learning models were implemented using PyTorch (a deep learning framework in Python);
- Dockerization and deployment to production of these algorithms and models;
- Use of LLMs to automatically identify fake news.
Education
Master - Computer Science at Ecole Centrale Paris
September 1, 2013 - September 1, 2016École Centrale Paris: Prestigious French engineering school known for multidisciplinary training in science, engineering, and management.
Classe Préparatoire Scientifique (Scientific Preparatory Classes) at Blaise Pascal
September 1, 2011 - September 1, 2013Classe Préparatoire Scientifique (Scientific Preparatory Classes): Intensive two-year French program preparing students for competitive entrance exams to top engineering schools (Grandes Écoles). Focuses on advanced mathematics, physics, chemistry, and computer science, developing strong analytical and problem-solving skills.
Qualifications
Industry Experience
Software & Internet, Financial Services, Healthcare
Experience Level
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