Jean-Christophe LAFLEUR
Machine Learning Engineer | GenAI, Big Data & Scal
Salaire / Taux journalier
Créteil, France
Mobilité : Paris
Freelance, ouvert au CDI
Peut venir sur site
Expertises
Langues
À propos
Introduction
With a Master’s degree in Big Data from Université Paris 8, I focus on designing practical, scalable data solutions that move beyond theory into real-world impact. My experience covers the full data pipeline from processing large, heterogeneous datasets to building and deploying machine learning models. I’m particularly drawn to complex problems such as anomaly detection, unlabelled data, and distributed data environments, where choosing the right modeling strategy truly matters. For instance, I designed a hybrid architecture to detect anomalies in an unlabelled dataset, combining multiple approaches to improve robustness and detection performance. Today, I’m focused on strengthening my expertise in production-ready ML, MLOps, and Big Data systems, and I’m looking to contribute to teams that value both technical rigor and practical impact in AI-driven projects. Keywords: Data Science, Big Data, Artificial Intelligence, Machine Learning, Cybersecurity, Blockchain
Expérience de travail
Personnal Projects
Personal Projects
janv. 2024 - Présent
2 ans 10 mois
Paris, France
- Develop a RAG Agent (GenAI): Mitigate hallucinations (92% accuracy) for the summarization of complex documents. - Design a Health AI Solution: Build a predictive analysis system to transform photos and text into structured nutritional indicators (95% reliability) for calorie tracking. - Develop "Petit Chef" Chatbot: Implement a personalized recipe recommendation system. - Model a Recommendation System: Deploy an item-to-item engine using PySpark and FastAPI, handling 1,000 requests per second. - Architect a Secure Home Server: Deploy an infrastructure using Docker Compose with SSL/TLS encryption. - Automate Lifecycle (MLOps): Streamline workflows and automate repetitive tasks to ensure high service availability. - Tech Stack: Python, LangChain, OpenAI API, Gemini API, Streamlit, PySpark, FastAPI, Docker, Nginx Proxy Manager (NPM).
Data Analyst | Data Scientist
NUMCONSEILS
mai 2023 - oct. 2023
6 mois
77420 Champs-sur-Marne, France
- Automate the deployment of cybersecurity applications. - Cloud security monitoring for malicious connections - Read Related Work about : Intrusion Detection System, Anomaly Detection, Robust Clustering, Hybrid Model, Cybersecurity, Behaviour Analysis. - Implementation of an unsupervised hybrid model for anomaly detection with a behavioural modelling pre-layer. - Implementation of a web application to use a real-time intrusion detection system.
Blockchain developer | Data Scientist Internship
Université Paris 8
avr. 2022 - oct. 2022
7 mois
Seine-Saint-Denis, Île-de-France, France
LIASD Laboratory Intership Project : - Read related works about : fingerprint recognition, encryption, blockchain, blockchain software, decentralized identity. - Improved detection of fingerprint minitiae. - Implementation of a fingerprint recognition algorithm that generates a unique ID to secure sensitive data stored in a blockchain application. (Python) - Implementation of a digital wallet based on a blockchain framework for storing decentralised identifiers. (Substrate - Rust)
French Civic Service — Supporting Children Facing Learning Barriers
Association Séphora Berrebi
sept. 2021 - mars 2022
7 mois
Paris, France
- Soutien scolaire individualisé et accompagnement d’élèves en difficulté. - Mise en place de méthodes pédagogiques personnalisées favorisant la progression. - Développement des soft skills : patience, écoute, travail d’équipe.
Web App Developer
Association Séphora Berrebi
mai 2021 - juil. 2021
3 mois
Paris, France
- Développement d’une application web interne de gestion et suivi d’activités. - Intégration d’interfaces dynamiques et d’API REST. - Collaboration en environnement hybride avec les équipes projet et communication.
Université Paris-Est Créteil (UPEC)
oct. 2018 - juil. 2021
2 ans 10 mois
Créteil, France
Student Ambassador
oct. 2018 - juil. 2021
2 ans 10 mois
Créteil, France
- Supported event logistics (Jobdays, Open Days, “Envies de Savoir”). - Advised prospective students on UPEC programs at education fairs and career forums. - Front-desk duties at the Student Innovation & Entrepreneurship Center. - Occasional IT support (basic hardware/software assistance, booth setup). - Scope/impact: [e.g., 10+ events/year, 500+ visitors guided, cross-team coordination]
Web App Developper
mai 2020 - oct. 2020
6 mois
Créteil, France
- Upgraded a legacy sourcing platform to CodeIgniter 4.0.3 framework. - Revamped the UI and integrated Ajax requests for dynamic interactions (Front End). - Refactored CRUD-related database read functions (Back End). - Hardened the platform: authentication and script security protections.
Formation
Université Paris 8
Master in Computer Science, Big Data
2021 - 2023
2 ans 1 mois
Program focused on Artificial Intelligence and large-scale data processing, combining theory, practical implementation, and deployment. This degree enabled a continuous development of expertise across the entire data value chain, from statistical modeling to distributed architecture design, with a strong emphasis on security, automation, and performance. ⚙️ Key Courses and Modules: - Machine Learning & Deep Learning - PySpark and R Programming - Natural Language Processing (NLP) - Advanced Big Data Frameworks - Cybersecurity and Embedded Systems - Distributed Databases - Concurrent and Network Programming - Probability, Statistics, and Information Theory 📘 Thesis Projects: - Fingerprint recognition and secure unique ID generation - Anomaly detection in authentication logs using hybrid models 🎓 Degree obtained: Master’s in Big Data – with Honors
Université Paris-Est Créteil
Bachelor of Science, Computer Science
2016 - 2020
4 ans 1 mois
Program focused on the core principles of computer science, mathematics, and software systems, combining theoretical foundations with practical development skills. It provided me with a strong scientific and algorithmic foundation, essential for designing efficient programs and reliable systems. ⚙️ Key Courses and Modules: - Algorithms and Data Structures - Advanced C, Java, and Web Programming - Object-Oriented and Functional Programming - Operating Systems and Computer Networks - Relational Databases - Probability, Discrete Mathematics, Analysis, and Algebra - Applied Physics for Computing 🎓 Degree obtained: Bachelor’s in Computer Science
42
Piscine (selection program)
2017 - 2017
2 mois
- 4-week intensive bootcamp in C programming and algorithms - Daily projects, weekend rushes, and peer-to-peer assessments - Version control, code standards, debugging, and testing - Teamwork, pair programming, and project-based learning - Completed with final ranking/validation of the Piscine
Université Paris-Est Créteil
Bachelor's First Year, Mathematics and Computer Science
2015 - 2016
11 mois
Interdisciplinary program combining applied mathematics and computer science, providing a strong foundation in analysis, modeling, and algorithmic reasoning. This first year helped me build scientific rigor and a solid understanding of core programming and mathematical logic concepts. ⚙️ Key Courses and Modules: - Analysis and Algebra - Discrete Mathematics - Algorithms and Data Structures - Functional Programming ( OCAML ) - Applied Physics
Lycée Acajou 1
Baccalauréat général, Scientific
2011 - 2015
3 ans 11 mois
Licences et certifications
Snowflake Data Engineering
Délivré le : août 2026
Google Data Analytics
Délivré le : mars 2026
Google Cloud Computing Foundations Certificate
Délivré le : mars 2026
Google AI Essentials
Délivré le : févr. 2026
Elements of AI: Introduction to AI
Délivré le : janv. 2026
Snowflake Foundations
Délivré le : oct. 2025
Intermediate Python
Délivré le : oct. 2025
Intermediate SQL
Délivré le : oct. 2025
Git Fundamentals
Délivré le : oct. 2025
GitHub Foundations
Délivré le : oct. 2025
Scientific Computing with Python
Délivré le : juin 2025
Machine Learning with Python
Délivré le : juin 2025
Applied Data Science with Python - Level 2
Délivré le : août 2023
Data Analysis with Python
Délivré le : août 2023
Data Visualization with Python
Délivré le : août 2023
Machine Learning with Python
Délivré le : août 2023
Python for Data Science
Délivré le : août 2023
Data Cleaning
Délivré le : août 2023
Community Driven Cybersecurity
Délivré le : juil. 2023
CrowdSec Fundamentals
Délivré le : juil. 2023
Pre Security
Délivré le : juin 2023
Introduction to Cyber Security
Délivré le : juin 2023
Certificate of Achievement - SecNum académie
Délivré le : janv. 2023
Civic Service Certificate
Délivré le : févr. 2022