Summary
Noor Nasri is a software engineer at Roblox with eight years of experience building production ML systems, networked services, and games. A University of Toronto double-major in Computer Science and Statistics with a specialization in Machine Learning and Data Mining, Noor combines strong foundations in algorithms, security, and ML with hands-on engineering across Java, C/C++, C#, Python, and Lua. At Roblox she optimized a mesh-joint prediction model, cutting inference time by ~60% and productionizing the pipeline with Docker, Kubeflow, and Triton. Earlier roles include automating test suites and IPv6 migrations at BlueCat, and a teaching assistantship where she taught courses from Intro Python to 4th-year Security. She also independently developed a 3D Roblox card game that amassed millions of visits and nearly a million unique players, demonstrating product instincts and scalable cross-server data design. Based in California, Noor blends research-grade ML knowledge with practical system design and a knack for shipping high-impact, user-facing projects.
8 years of coding experience
2 years of employment as a software developer
Vincent Massey
Machine Learning and Data Mining Specialist, Computer Science, Machine Learning and Data Mining Specialist, Computer Science at University of Toronto
English, Arabic