Thomas L.

Thomas is an independent consultant and developer focused on workflow automation, AI systems and data analysis, with a business-first, pragmatic approach to delivery.

With a strong analytical foundation in statistics and forecasting, he began his career in a CAC40 company as an energy consumption forecaster, where he also contributed to operational process optimization. He then moved into internal consulting roles at group level, as market and business analyst, working across long-term market projections, green mobility assessment models, business planning, and predictive modeling.

He later transitioned into systematic trading as a quantitative developer, designing and deploying mid-frequency strategies, advanced backtesting frameworks, and live execution infrastructure built to the production standards expected by hedge funds and proprietary trading firms.

His current focus is AI-powered workflow automation and agentic systems - combining multi-agent architectures, RAG, local and cloud LLMs, and human-in-the-loop control to solve operational and scaling challenges faced by startups, scale-ups, and financial firms.

Across his project portfolio, Thomas has consistently demonstrated his ability to autonomously architect, build and deliver end-to-end systems, applying an AI-native approach to execution, iteration and problem solving.