Summary
Sara El-shawa is a senior machine learning engineer with eight years of interdisciplinary experience applying deep learning, graph methods, and computer vision to problems at the intersection of AI and biology. She has built production-ready pipelines and GUIs that turned multi-day analyses into hourly workflows, led projects that produced patentable gene-ranking methods using network topology, and deployed LLM and vision models for agricultural and biological applications. Her background spans academia and industry across Canada, the U.S., and Japan, with contributions to public-health forecasting, federated learning simulations, and real-time robotic interfaces for behavioral experiments. Comfortable moving projects from research prototypes to scalable tools, she combines computational biology insight with applied ML engineering to drive decision-focused outcomes.
8 years of coding experience
5 years of employment as a software developer
Honours Bachelor of Science, Computer Science and Biology, Honours Bachelor of Science, Computer Science and Biology at University of Toronto
Master of Applied Science - MASc, Collaborative Specialization in Artificial Intelligence, Master of Applied Science - MASc, Collaborative Specialization in Artificial Intelligence at University of Guelph
English, Arabic