Summary
Noé Tits is an AI/ML engineering manager and tech lead with a decade of experience building LLM-driven and multi-modal systems, specializing in generative AI, expressive speech synthesis, and clinical-data agentic workflows. With a PhD in Generative AI for Speech and Language Processing and hands-on leadership from startup R&D to enterprise teams, he translates advanced research—PEFT, contrastive learning, RAG, flow-based generative models—into production-grade solutions. At CluePoints he leads the design and delivery of LLM and agentic pipelines for clinical trial protocol understanding and anomaly detection, combining architecture, mentorship, and stakeholder collaboration. Previously as Head of R&D at Flowchase he shipped multilingual, efficient speech models for pronunciation assessment and managed end-to-end deployment. He is as comfortable tuning probabilistic generative models for likelihood-based anomaly detection as he is defining technical strategy and career growth for engineers. An understated strength is his ability to bridge deep academic work with practical, high-impact productization in regulated domains like clinical trials.
10 years of coding experience
2 years of employment as a software developer
Master's degree, Electrical engineering focused on Signal Processing and Automation, Master's degree, Electrical engineering focused on Signal Processing and Automation at Faculté Polytechnique de Mons
Master's thesis, Speech processing, Master's thesis, Speech processing at EHU
2017 Speech Processing Courses in Crete, 2017 Speech Processing Courses in Crete at University of Crete
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at ISIA LAB - UMONS
French, English, Spanish