Freelancer profile translated to English.
Back to original languageAbout Madyen
AI Engineer/PhD with a strong background in Python, machine learning, statistical modeling, and LLM/RAG-based AI applications. Experienced in developing data-oriented pipelines combining embeddings, vector search, generative models, automation, and cloud deployment. My background combines scientific simulation, synthetic data generation, active learning, and production-oriented AI systems. Also experienced in technical mentoring and coordination with a strong ability to explain complex concepts and transform advanced models into practical solutions.
French
Native or bilingual
English
Native or bilingual
Can work on-site
Angers (up to 50km), Nantes (up to 50km), Paris (up to 50km)
Experience
- University of ArizonaSenior AI / ML Engineer — Postdoctoral ResearcherRESEARCHFebruary 2024 - February 2026 (2 years)Tucson, AZ, USADesign of deep learning systems (CNNs + PointNet++) for predicting material properties from 3D microstructural data — end-to-end: data processing, model design, evaluation.› Development of generative models based on CVAEs producing synthetic microstructures conditioned on target mechanical properties, significantly reducing the cost of physical experiments.› Design of active learning pipelines coupled with Abaqus FEM simulations to optimize data acquisition and reduce computational costs.› Processing of high-dimensional FEM outputs — meshes, stress/strain tensors, volumetric fields, time sequences — complete pipeline to ready tensors for models on HPC clusters.› Mentoring two students; communicating AI modeling methods to multidisciplinary engineering teams.
- Keysight Technologies (anciennement ESI Group)AI / ML Engineer — Doctoral ResearcherSOFTWARE PUBLISHINGSeptember 2020 - August 2023 (2 years and 11 months)Angers, France› Development of hybrid physics-informed deep learning models for predicting shrinkage porosity in 3D casting simulations — validated on real Safran aerospace manufacturing cases.› Building production-oriented predictive pipelines combining simulation outputs, structured process parameters, reduced-order representations, and ML for near real-time inference.› Presenting results to AI specialists and non-specialist engineers in the automotive and aerospace sectors; mentoring an engineering intern.
- Laval Virtual Center, Arts et MétiersML EngineerRESEARCHSeptember 2019 - August 2020 (11 months)Laval, France› Development of deep learning models for 3D reconstruction, shape recognition, and geometry processing (point clouds, LiDAR, structured 3D data).› Building end-to-end Python data processing and visualization workflows for high-dimensional 3D datasets.
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Education
- PhDArts et Métiers ParisTech2023Apprentissage automatique pour la simulation en ingénierie
- MasterENS Paris-Saclay2019Ingénierie numérique Produit-Process