Summary
Shahab Nabavi is a Machine Learning MTS with a decade of experience building end-to-end AI solutions across 2D/3D computer vision and multi-modal domains including speech and text. He has prototyped and productionized models under strict memory and latency constraints, translating research into products used by millions while at Huawei's Noah's Ark Lab and now at Cerebras Systems. Comfortable across the ML lifecycle, he specializes in dataset engineering, cleaning, visualization, and model evaluation, and has authored scientific reports and literature reviews to inform technical strategy. Shahab’s background includes graduate research and teaching roles, and he began a PhD in ECE/CS before moving to industry, signaling deep theoretical grounding paired with pragmatic delivery. He brings a knack for designing advanced visualizations that simplify heavy numeric analysis for stakeholders, helping teams make data-driven decisions faster. Based in Old Toronto, he combines academic rigor with hands-on engineering across popular deep learning and computer vision frameworks.
10 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Manitoba
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Shahid Beheshti University
Doctor of Philosophy - PhD (left for industry), Electrical Engineering and Computer Science, Doctor of Philosophy - PhD (left for industry), Electrical Engineering and Computer Science at York University
English