Elaheh Jalalpour is a Senior Machine Learning Engineer with 11 years of experience building production ML models and the infrastructure to deploy them at scale, currently contributing to Square from Toronto. Her background spans industry and research, including ML-driven automation at Aviva that boosted customer satisfaction by 53% and fraud-detection microservices with measurable precision gains. She brings deep systems understanding from a Master’s in Computer Systems Networking and Telecommunications and hands-on experience designing anomaly detection and attack algorithms with top-tier academic results. Elaheh has operationalized models into APIs and led migrations to cloud microservices, pairing model design with robust deployment and monitoring. Her work combines research rigor—papers and a patent from earlier internships—with pragmatic engineering that closes the loop from prototype to production. Colleagues describe her as a practical innovator who translates complex ML research into reliable, business-impacting services.
11 years of coding experience
5 years of employment as a software developer
Amirkabir University of Technology
Master of Computer Science, Computer Systems Networking and Telecommunications, 86/100, Master of Computer Science, Computer Systems Networking and Telecommunications, 86/100 at University of Waterloo
Contributions:12 commits, 6 PRs, 10 pushes in 1 year 5 months
deep-learningdrivingmachine-learning
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Elaheh Jalalpour - Sr. Machine Learning Engineer at Square