Boukari Yameogo

Senior Machine Learning Engineer at CAE

Montreal, Quebec, Canada
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Summary

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Senior
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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.
code8 years of coding experience
job3 years of employment as a software developer
bookHigh School Diploma, Mathematics, High School Diploma, Mathematics at Lyceé Moderne Divo (Cote d'Ivoire)
bookMaster's degree, Physics - Astrophysics, Master's degree, Physics - Astrophysics at Université de Moncton
bookBachelor of Applied Science - BASc, Engineering Physics/Applied Physics, Bachelor of Applied Science - BASc, Engineering Physics/Applied Physics at Université de Ouagadougou
bookMaster's degree, Business Intelligence - Data science, Master's degree, Business Intelligence - Data science at HEC Montréal
languagesFrench, English
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Github Skills (9)

entity1
sql-server1
wpf1
entity-framework1
csharp1
sql1
dotnet1
database1
code-first1

Programming languages (6)

C#RRustGoPythonDart

Github contributions (5)

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yamess/DataSmart

Jan 2020 - Jan 2020

Contributions:13 commits, 9 pushes, 2 branches in 7 days
yamess/Rust-Labs

May 2023 - Feb 2024

Rust project for learning purposes
Contributions:1 review, 16 PRs, 21 pushes in 9 months
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