Summary
Dilyn Fullerton is a versatile software engineer with 10 years of experience building cloud-native, distributed systems, full-stack applications, and GenAI agents, currently working as Member of Technical Staff at xAI in the San Francisco Bay Area. He brings a rare combination of deep theoretical training in physics and mathematics and practical expertise in fintech and AWS-scale engineering, having built quantitative systems for CC&L and production services at AWS. Comfortable across functional and object-oriented paradigms, Dilyn’s work spans API and system design, data engineering, machine learning, and software architecture. His research background in gauge/gravity duality and nanoplasmonics informs a disciplined, analytical approach to complex problems and numerical methods. Known for shipping reliable systems and mentoring through teaching roles, he blends rigorous academic problem-solving with a track record of delivering production-grade software.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Applied Science - BASc Engineering Physics, Bachelor of Applied Science - BASc Engineering Physics at The University of British Columbia