Summary
Esma Mouine is an MLOps engineer based in Montreal with 8 years of experience building scalable AI systems and data pipelines across startups and enterprise teams. She blends hands-on machine learning, NLP, and data engineering—using tools like TensorFlow, spaCy, Spark, and AWS—with software engineering best practices to productionize models and refactor reusable backend services. Her background includes applied research on time-series models for game server scaling at Ubisoft and deploying NLP-driven features at Heyday by Hootsuite, showing a mix of research rigor and product-focused delivery. Comfortable in Agile environments and familiar with Docker, DevOps collaboration and testing automation, she excels at turning complex data flows into maintainable, performant systems. A quick learner with a full-stack foundation (Python, Java, C#, SQL), she often surfaces cross-cutting optimizations that reduce operational costs while improving model reliability.
8 years of coding experience
3 years of employment as a software developer
Computer Software Engineering, Computer Software Engineering at Université Laval
lycée privé l'idéal, Tunisie
MASc, Computer Software Engineering, MASc, Computer Software Engineering at Concordia University
French, Spanish, Arabic, English