Pedram Mohammadi

I’m a video AI/ML engineer who designs algorithms that make everyday images and videos look better—measurably. I pair a deep understanding of human visual perception with pragmatic engineering to build models that are both scientifically grounded and production‑ready. My work centers on impact: improving perceptual quality, creating reproducible tooling that accelerates experimentation and adoption, and partnering closely with hardware teams to turn research ideas into shipped features. I’m most energized by problems at the intersection of perception, efficiency, and systems engineering.

Before this, I worked as a Senior Scientific Research and Experimental Development (SR&ED) consultant, helping companies translate R&D into real business outcomes. That experience sharpened my ability to navigate both the technical details and the financial context of innovation—skills I bring to project planning, stakeholder communication, and delivery at scale.

I received my PhD in Electrical and Computer Engineering from The University of British Columbia, where I was part of the Digital Multimedia Lab (DML) and researched High Dynamic Range (HDR) video processing. This work produced patented techniques that have been implemented in industry, bridging academic research and production. Earlier, I completed my B.Sc. and M.Sc. in Electrical Engineering (Communication Systems) at Ferdowsi University of Mashhad, focusing on the human visual system and objective video quality metrics.

I’m passionate about algorithm development across the full lifecycle—from first principles and prototyping through robust, scalable deployment. I’m always open to connecting with people who care about building great visual experiences. If you’d like to chat, feel free to email me or connect with me on LinkedIn.