Yohann Le Faou

AI Engineer| IA et Modélisation

Salaire / Taux journalier

Paris, France

Freelance

Peut venir sur site

Expertises

LLMs / Large language modelsData ScienceIAPythonMachine LearningDockerFlaskJenkinsGestion des risquesJavascriptHTMLNLP / Natural Language ProcessingGitHubTest & QARAzureApache AirflowMATLABRequêtes SQLGitCSS

Langues

Français (Maternelle)Anglais (Courant)

À propos

Introduction

Expert en IA et Data Science avec un PhD en statistiques et 9+ ans d'expérience, spécialisé dans l'IA agentique et les systèmes de décision autonomes. J'accompagne les entreprises dans leur transformation IA avec des solutions sur-mesure pour systèmes complexes.

Liens

Expérience de travail

AI Engineer

Freelance | Self-EmployedFreelance

janv. 2025 - Présent

1 an 10 mois

Paris, France

- Designing and deploying agentic AI systems, from proof-of-concept to production - End-to-end project ownership : use case scoping, architecture design, and delivery IA : Agents, LLM, RAG, MCP, LangGraph, Vector databases (PG vector), Prompt and context engineering, Tools, Evaluations. Data Science: scikit-learn, pandas, numpy, XGBoost, pytorch. Déploiement : FastAPI, Flask, SQL, CI / CD, Git, Docker, Airflow. Cloud: AWS, GCP, Azure, OVH, Hetzner.

Senior Data Scientist

C3 AI

avr. 2022 - oct. 2024

2 ans 7 mois

Paris, France

Key responsibilities: - Delivered Data Science projects as both individual contributor and team lead - Designed and implemented new ML features tailored to client needs - Reported project progress and outcomes to internal and client stakeholders - Mentored and supported junior team members in their growth Typical projects are long-term collaborations with Fortune 500 companies, including: - Deployment of C3 AI Predictive Maintenance application for a major cement producer, improving asset reliability and reducing downtime - Development of a Supply Network Risk application for a leading medical device manufacturer, predicting supply chain delays and enabling proactive mitigation

Zelros

mai 2019 - mai 2022

3 ans 1 mois

Lead Research Scientist

nov. 2021 - mai 2022

7 mois

- Medical selection for credit insurance and monitoring (metrics, distributions of X & y, data drift, continuous integration, continuous improvement of the model), in production ML (tools: Docker, Flask, Jenkins, Azure, github, Airflow) - open source our research project for data drift detection and mitigation: https://github.com/zelros/cinnamon - Semantic search engine: sentence embedding (sentence-transformers, Siamese network, pretrain models). - Research topics in NLP: related to QA and search engine (transformers, question answering, question generation, large model training with T5, BERT, BART). Responsible of Zelros contribution to the LinT0 project. - ML explanability, Responsible AI: focus on Consistent AI (outlier detection, confidence score, confidence & prediction intervals, counterfactual examples, causality). Integration of some responsible AI features in Zelros autoML. - Beneficiary clauses (automation of the processing of clauses): entity recognition (spaCy, Flair), data labelling (doccano), heuristics, industrialization with API (Flask). - Participate to Data science Olympics organization - Technical communications (autoML, model explanability)

Machine Learning Researcher

mai 2019 - mars 2022

2 ans 11 mois

Paris, France

CIFRE PhD Candidate

Sorbonne Université (Sorbonne University)

avr. 2015 - mai 2019

4 ans 2 mois

Paris et périphérie

PhD in mathematics - CIFRE PhD carried out in collaboration with Forsides (actuarial firm) - Title: Contributions à la modélisation des données de durée en présence de censure : application à l’étude des résiliations de contrats d’assurance santé - Supervisor: Olivier Lopez (Sorbonne Université) - Specialization: data science, actuarial science - Keywords : survival analysis, censored data, copula, random forest Participated in a data science competitions to gain experience in different areas of machine learning: - Kaggle Competition Expert (top 2%). Kaggle account: https://www.kaggle.com/yooona - Challenge data ENS: 1st place among 70 participants at Posos challenge 2019 - Text classification of medical requesta in different intents - Data Science Game 2017: 2nd place with Sorbonne University (out of 145 teams) Presentations at international events: - IME 2017 : Insurance Mathematics & Economics, Wien (Austria) - Party 2017 : Perspectives on Actuarial Risks, Ascona (Switzerland)


Formation

Sorbonne Université (Sorbonne University)

Doctor of Philosophy - PhD, Mathematical Statistics and Probability

2015 - 2019

4 ans 1 mois

École normale supérieure de Rennes

Master's degree in mathematics and applications

2011 - 2015

4 ans 1 mois

Lycée Clemenceau

2009 - 2011

2 ans 1 mois


Licences et certifications

Programming Foundations with JavaScript, HTML and CSS

Délivré le : mars 2023

Certifié par Coursera

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