I am ML Tech Lead at Sycodal, a company developing visual inspection systems and collaborative robots for small to medium-sized industries. In this role, I supervise and guide the development of machine learning solutions designed to empower software modules with artificial intelligence. I hold a M.sc. and Ph.D. in software engineering from Polytechnique Montreal, where both of my dissertations were awarded the prize for best thesis in computer science. This involves being a resident ML researcher at Bombardier for two years, working on model testing and out-of-distribution detection approaches for tackling reliability and certification challenges of ML models in aircraft engineering problems. I published research papers on assurance quality of machine learning systems published in top-tier scientific journals and prestigious conferences. I participated in designing and developing open-source debugging and testing tools for deep learning programs. I am passionate about staying up-to-date on the latest MLOps initiatives, and I occasionally share my thoughts in technical workshops and blog posts.