Jackson Gayda is an AI Engineer based in Melbourne with six years of experience building practical machine learning and software solutions for startups and enterprises across Australia and North America. Currently at Time Under Tension, he has moved rapidly through roles that blend applied AI, systems engineering, and software consulting, including short-term engineering stints at Fraim and Fulcra. His background in engineering physics (UBC) and a capstone project that produced a C++ liver perfusion model 10x faster than prior regression approaches highlight a strong applied-math and performance-minded approach to ML engineering. He pairs hands-on systems experience from companies like Sony Pictures Imageworks and Microsoft with domain curiosity—from GIS and rocket team work to healthcare modeling—making him adept at translating complex problems into efficient, production-ready models. Colleagues describe him as a pragmatic builder who favors measurable impact and speed-to-value when moving prototypes into production.
6 years of coding experience
2 years of employment as a software developer
High School, High School at Shawnigan Lake School
Bachelor of Applied Science - BASc, Minor in Science, Engineering Physics, Astronomy (Minor), Bachelor of Applied Science - BASc, Minor in Science, Engineering Physics, Astronomy (Minor) at The University of British Columbia
A Python simulation for the game of Blackjack that analyzes the effect of strategy (bet spreads, card counting, basic strategy accuracy) on the players' bankrolls.
Contributions:1 PR, 20 pushes, 1 comment in 1 year 1 month
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