Software & AIEngineering
Engineering student specializing in Data Science and Artificial Intelligence at Télécom Physique Strasbourg. Passionate about machine learning, computer vision, MLOps, and software development.
About
I'm an engineering student specializing in Data Science and Artificial Intelligence at Télécom Physique Strasbourg (Mines-Télécom). Passionate about machine learning, computer vision, MLOps, and software development.
My projects span various domains: computer vision, medical image segmentation, ML model deployment, and drone image analysis. I also have experience as president of a junior enterprise and in applied AI internships, working on real-world problems and deploying production-ready solutions.
Technical Skills
Technologies and tools I work with
Programming Languages
ML & Deep Learning
Computer Vision
DevOps & MLOps
Web & Frontend
Databases & Tools
Projects
A selection of my ML and Data Science projects
Drone-Based Gauge Analysis
Computer vision project for drone-based mud gauge analysis. Combines Mask R-CNN for gauge segmentation and EfficientNet for height estimation.
Face Swap - Identity Transfer
Facial identity transfer prototype based on shared encoder and dual decoders. Research on face alignment, reconstruction, and ethical deepfake detection.
ML Deployment with Kubernetes
Image classification model deployment via FastAPI REST API, containerized with Docker and orchestrated with Kubernetes.
Drone Image Classification
EfficientNet-B0/B3 model trained on 10,000+ drone images with ~92% accuracy. Vue.js interface deployed on OVH server.
Medical Image Segmentation
U-Net implementation for 2D medical image segmentation. Pipeline optimization reducing inference time by ~25%.
Medical Image Processing
Advanced algorithms for medical image enhancement and feature extraction. Model stability optimization.
Contact
Feel free to reach out for projects or collaborations