Summary
Boukari Yameogo is a Senior Machine Learning Engineer based in Montreal with eight years of experience translating advanced research into production-grade AI systems across cybersecurity, finance, and defense. He combines deep learning, NLP and graph neural network expertise with strong MLOps skills—building model lifecycle platforms, automated retraining, drift detection, and AKS deployments using Terraform, ArgoCD and MLflow. Proficient in Python and Go, Boukari has hands-on experience containerizing and serving models with Seldon, FastAPI and Celery for scalable, observable pipelines. His background in astrophysics and applied physics informs a data-driven, experimental approach to problem solving and enables him to bridge rigorous research methods with pragmatic engineering.
8 years of coding experience
3 years of employment as a software developer
High School Diploma, Mathematics, High School Diploma, Mathematics at Lyceé Moderne Divo (Cote d'Ivoire)
Master's degree, Physics - Astrophysics, Master's degree, Physics - Astrophysics at Université de Moncton
Bachelor of Applied Science - BASc, Engineering Physics/Applied Physics, Bachelor of Applied Science - BASc, Engineering Physics/Applied Physics at Université de Ouagadougou
Master's degree, Business Intelligence - Data science, Master's degree, Business Intelligence - Data science at HEC Montréal
French, English