Julian Whiting is a pragmatic machine learning engineer and co-founder with five years of hands-on experience turning research-grade models into resilient products for real users. Based in Waterloo, he has led ML teams and shipped production generative systems—from custom PyTorch GPT-2 architectures at Axonify to safety-focused deployments serving millions at Strong Analytics—while collaborating with DARPA and Microsoft Research on frontier AI problems. He now runs Arkanis Labs, helping startups and VCs build AI infrastructure that survives production complexity, combining systems design with data-and-model engineering. Julian’s background in biotechnology and economics gives him a cross-disciplinary lens for practical productization, and his career shows a pattern of moving rapidly from prototyping novel model techniques to robust, scalable implementations.
5 years of coding experience
8 years of employment as a software developer
BSc, Biotechnology & Economics, BSc, Biotechnology & Economics at University of Waterloo
Contributions:2 reviews, 13 pushes, 1 branch in 4 months
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