arnaud
poletto.

Current Focus

• Developing Python signal processing algorithms for contactless sleep monitoring
• Researching novel data-driven approaches for biomedical signal analysis

Key Achievements

• Developed a contrastive learning model and automated pipeline for sky characterization, extracting daylight metrics (cloud coverage, dynamics) from sky imagery
• Created a practical camera-based alternative to expensive sky-scanning equipment for architectural daylight research

Final Grade5.58 / 6

Program Details

• Specialization in artificial intelligence and data science
• Advanced coursework in machine learning and computer vision
• Research focus on data science applications

Key Achievements

• Developed 6DoF tracking models for infrared stylus detection using PyTorch
• Built automated Blender pipeline generating 28,000+ annotated frames
• Designed multi-stage detection system combining temporal motion with spatial analysis

Key Achievements

• Developed platform connecting teachers with 2,000+ students learning digital literacy
• Implemented file sharing, admin tools, and communication features using Laravel
• Managed full-stack development from backend to deployment

Key Achievements

• Extended admin platform and database infrastructure for medical system with 700,000+ patient records
• Built staff tools with role-based permissions and security features
• Implemented schema versioning, data migrations, and backward compatibility

Final Grade4.92 / 6

Program Details

• Strong foundation in computer science fundamentals
• Core coursework in algorithms and data structures
• Programming languages and mathematical foundations