Mohamed Bouzid is a Data & AI Consultant with 11 years of experience who combines academic rigor from a master’s in Quality Systems Engineering with hands-on work in ML, deep learning, and cloud-based big data solutions. His graduate research produced explainable AI models for electricity consumption forecasting, bridging energy management challenges and practical deployment considerations. He has applied ML to communications problems at UBC—developing CNN autoencoders for 5G URLLC scenarios—and built document-understanding pipelines using LayoutLM for scanned image NER. A multicultural communicator fluent in English, French, and Arabic, Mohamed has mentored international research interns through Mitacs, sharpening his leadership and intercultural skills. Based in Montreal, he brings a blend of research depth and production-focused consultancy at EY, with a daily coding habit that keeps his technical skills current.
11 years of coding experience
3 years of employment as a software developer
Undergraduate Preparatory Cycle : Mathematics & Physics, Rank: 30/1650 in the National Engineerin Exam, Undergraduate Preparatory Cycle : Mathematics & Physics, Rank: 30/1650 in the National Engineerin Exam at IPEIT - Institut Préparatoire aux Etudes d'Ingénieurs de Tunis
Master of Engineering - MEng, Quality Systems Engineering, 4/4.3, Master of Engineering - MEng, Quality Systems Engineering, 4/4.3 at Concordia University
Bachelor of Engineering - BE, Signals & Systems ( SISY ), Bachelor of Engineering - BE, Signals & Systems ( SISY ) at Tunisia Polytechnic School
Contributions:2 PRs, 41 pushes, 2 branches in 5 years 9 months
ruby-on-railsrailsadminruby
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