Summary
Alain Daccache is a Senior Data Engineer and Machine Learning practitioner based in Toronto with 8 years of experience building production-grade ML and data platforms across energy, finance, and consumer businesses. He blends software engineering rigor from a McGill B.Eng. with hands-on MLOps, forecasting, and distributed systems expertise—recently optimizing battery scheduling and price/load forecasting to support cleaner grids. At CGI he delivered end-to-end deep learning integrations, fleet route optimization for 1,300 vehicles using operations research, and led practical MLOps training across teams. He has scaled real-time data pipelines (Kafka, Spark) and deployed containerized model services (Docker, Kubernetes, FastAPI) to make models reliable and adoptable. Passionate about applying distributed systems to IoT, AI, and HFT, Alain often bridges research-grade methods and production constraints to accelerate impact. Colleagues rely on him for pragmatic tooling and processes that turn complex data into operational improvements.
8 years of coding experience
4 years of employment as a software developer
French Baccalaureate Science Series (Math Specialization), French Baccalaureate Science Series (Math Specialization) at International College
Bachelor's degree Software Engineering, Bachelor's degree Software Engineering at McGill University
English, French, Arabic