Matheus Torquato is a Senior Data Scientist with 8 years’ experience building end-to-end ML and generative AI solutions, currently driving AI transformation at Jaguar Land Rover’s Data and AI Office. He pioneers RAG-based systems, AI agents and MCP implementations—shipping award-winning products like a Recommended Order Bank and a LangChain/Gemini-powered Equipment Repair Companion—while mentoring junior scientists. His background in computer engineering and academic research (including computer vision and manufacturing-focused ML) gives him strong grounding in both embedded systems and large-scale cloud deployments on GCP. Matheus combines rigorous statistical modelling and time-series forecasting with practical production engineering, and is passionate about learning, teaching and sharing applied AI. An under-the-radar strength is his track record of translating academic research into tangible industrial improvements across automotive and manufacturing sectors.
8 years of coding experience
4 years of employment as a software developer
Massive Open Online Course (MOOC), Introduction to User Experience, Massive Open Online Course (MOOC), Introduction to User Experience at University of Michigan
Computer Science, Computer Science, Computer Science, Computer Science at Swansea University
This is Modelling ML, a code-free Machine Learning (ML) tool presented in a Graphical user interface (GUI) which covers the most important steps in the design of Classification and Regression Machine Learning models.
Contributions:111 commits, 3 PRs, 11 pushes in 3 months
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