Summary
Mojtaba Vàlipour is an AI Engineer and researcher with 11 years of experience building large-scale machine learning systems and geospatial foundation models. He has driven product and technical value from early-stage to multimillion-dollar valuation as Principal AI Scientist and founding engineer at hum.ai, where he developed SOTA super-resolution and kelp-identification transformers and designed a novel diffusion-based transformer architecture for Earth-scale models. His experience spans industry research labs (Huawei Noah’s Ark, Oracle), a faculty affiliate role at Vector Institute, and current AI engineering at BMO Capital Markets, blending rigorous academic training (PhD, University of Waterloo) with production ML. He also founded collaborative research platform DaneshBaz and has a public-facing technical presence through a personal website and YouTube channel, reflecting a commitment to communicating deep AI topics. Notably, he maintains active codebases across multiple git hosts (including an active Waterloo profile), signaling a preference for institutionally integrated engineering workflows.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Science (B.S.) Computer Hardware Engineering, Bachelor of Science (B.S.) Computer Hardware Engineering at Jundi-Shapur University of Technology
Self Driving Car Engineering Nanodegree Artificial Intelligence, Self Driving Car Engineering Nanodegree Artificial Intelligence at Udacity
High School Diploma Mathematics & Physics, High School Diploma Mathematics & Physics at Dr. Assarian
Master of Science (M.S.) Artificial Intelligence, Master of Science (M.S.) Artificial Intelligence at Shiraz University
Part-Time MBET, Part-Time MBET at University of Waterloo
Persian, English, French