Pierrick MADE

Weather and solar energy forecasting platform

• Architecture: Designed core internal applications improving significantly forecast accuracy
• Optimization: Developed algorithms maximizing renewable energy grid integration
• Computer Vision: Built deep learning models for cloud detection/classification
• DevOps: Enhanced CI/CD, containerization, and automated testing frameworks
• Team Support: Mentored colleagues in coding practices and wrote tech documentation

Python, GCP, Git, PyTorch, NumPy/Pandas, Scikit-learn

Healthcare division - Clinical imaging and diagnostic solutions

• Adapted and benchmarked deep learning models for breast cancer detection
• Reached 86% lesion detection rate using enhanced preprocessing on CBIS-DDSM dataset

Python, TensorFlow, OpenCV, ITK

Leading independent testing lab for smartphone and camera quality

• Designed first objective touchscreen testing protocols for DXOMARK Display scores
• Built Python framework for robot/high-speed camera automated analysis

Python, C++, Robot controlling, ADB, Bash

• Developed educational materials and exercises for C# programming courses
• Supervised and supported 30 students throughout the academic year

Timelapse and monitoring solutions for construction projects

• Built a Python automated photo processing system to detect unusable images
• Deployed pipeline on AWS with SQL database integration and Bash scripting