Declan Mcintosh is a PhD candidate and research assistant in Electrical and Computer Engineering at the University of Victoria with eight years of experience building computer vision and autonomy systems. He specializes in unsupervised methods for anomaly detection and has translated research into real-world deployments for industry partners including Dometic, curbFlow, and Cascadia Seaweed. Declan has a strong track record of applied research—developing biomass and biodiversity assessment tools for seaweed farms and live demoed safety-critical vision prototypes at major trade shows—and teaches medical image processing at the undergraduate level. Comfortable moving ideas from prototype to production, he has also contributed to simulation and embedded test tooling for marine systems. Based in Victoria, BC, he blends academic rigor with product-focused engineering and a knack for turning niche domain problems into practical perception solutions.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Vision, Doctor of Philosophy - PhD, Computer Vision at University of Victoria
High School, High School at St. Andrew's Regional High School
Contributions:33 commits, 26 pushes, 1 branch in 1 month
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