Summary
Guillaume Picard is a founder and data scientist with 11 years of hands-on experience building AI systems that deliver measurable value across energy, audio, and industrial domains. He has shipped end-to-end solutions—from digital twins for wind farm operations to custom audio quality models and LLM-based agent systems—combining research rigor with product-focused execution. Comfortable across the stack, he bridges deep learning (PyTorch, HuggingFace), LLM agents and retrieval systems, and full-stack MVPs (FastAPI, Next.js, TypeScript) to move prototypes into production. His background includes roles at Electricity Maps and Apple, plus recent work at FORCE Technology, giving him a cross-industry perspective on optimization and operational AI. Based in Copenhagen, he emphasizes practical impact over novelty, routinely integrating MLOps, monitoring and evals to ensure models work in the real world. An unusual strength is pairing aero-mechanical training with modern ML, which helps him reason about complex physical systems when building digital twins and optimization models.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Data Science & Statistics, Bachelor of Science - BS, Data Science & Statistics at Minerva University
Bachelor's of Engineering (BEng), Aero-Mechanical Engineering, Bachelor's of Engineering (BEng), Aero-Mechanical Engineering at University of Strathclyde
Data, Economics, and Development Policy MicroMasters, Economics, Data, Economics, and Development Policy MicroMasters, Economics at MITx Courses
English, French, Spanish, Korean, Danish