Sacha Brouck

- Designed a modular agentic architecture to close the loop from experiment results to next-best decisions in high-dimensional environments. - Built around retrieval, validation, causal evaluation, and LLM-assisted experiment generation. - Explored standardized experimentation workflows for enterprise decision systems, with future extensions toward adaptive allocation and policy learning.

CoMotion Labs Incubation Retrieval, identity resolution, ranking, graph ML modeling, and multimodal analysis for talent decision systems.

Supervisor: Pr. Pierre-Jacquelin Romani Causal Inference, Policy Learning, Adaptive Experimentation, Entity Resolution, Counterfactual Recommendation

Built investment research automation and selection models for private market deal screening, directly supporting a multi-million real estate acquisition in Madrid led end-to-end.

Built and operated an early-stage startup through product, fundraising (AYOMI), and exit. 50,000+ liters of water saved since 2022 through Kurauto’s car care technology.