Summary
Tao Guinot is a data-driven entrepreneur and Co-Founder with 14 years of experience blending AI, data science, and business strategy to deliver measurable product and operational impact. He has led end-to-end ML projects across speech-to-text, NLP, satellite-based climate risk prediction and entity matching, often improving accuracy substantially while accelerating inference and operational workflows. Tao pairs academic rigor from ENSTA and research in reinforcement learning with hands-on delivery at LVMH and consulting engagements, translating prototypes into production-grade systems and strategic tools. He has a knack for automating commercial analysis with LLM agents and for optimizing runtimes through smart refactoring and batching, making models both faster and more actionable. Active in the blockchain and WEB3 community as a student founder, he brings a founder’s perspective to technical choices and go-to-market positioning. Interestingly, Tao’s background spans both building visual RL tools in Unity3D and creating enterprise-grade cloud pipelines, demonstrating rare breadth across research, product, and operations.
14 years of coding experience
3 years of employment as a software developer
Master of Science - MSc Mathematics & Computer Science, Master of Science - MSc Mathematics & Computer Science at ENSTA
Concours Commun Mines-Ponts Mathematics and Physics, Concours Commun Mines-Ponts Mathematics and Physics at Lycée Pierre De Fermat