Elsa Riachi is a Data Scientist with 11 years of experience specializing in building tools to detect money‑laundering and financial crime, currently applying her expertise at Scotiabank in Montreal. She blends rigorous academic training—a MSc in Computer Science from the University of Toronto and an Honours B.Eng. from McGill—with hands‑on ML research and production work, from adversarial attacks on transformers to named entity recognition in bilingual (English/French) settings. Her background includes NLP model training and data pipeline engineering using PyTorch, Hugging Face, and MLFlow, and earlier research in distributed optimization and contextual embeddings. Elsa’s profile reflects a pragmatist who moves models from research into robust, auditable systems for high‑stakes compliance environments.
10 years of coding experience
1 year of employment as a software developer
Master of Science - MSc., Computer Science, Master of Science - MSc., Computer Science at University of Toronto
Honours Bachelor of Engineering (B.Eng.), Electrical, Electronics and Communications Engineering, 3.71, Honours Bachelor of Engineering (B.Eng.), Electrical, Electronics and Communications Engineering, 3.71 at McGill University
Contributions:8 PRs, 17 pushes, 5 branches in 2 months
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