I like the part of engineering where a concrete problem opens up several possible solutions: work out the constraint, build something small enough to test, and use the result to decide what comes next. My recent projects explore GPU scheduling, model evaluation, and reliable media processing on personal hardware.
I previously worked as a Software Development Engineer at Amazon, building and operating customer-order remediation services for Amazon Fresh. I also built and operated a community platform’s backend alongside a frontend partner for about two years. Those services supported real users; the current AI platform is independent R&D, developed alongside part-time automotive-operations work.
My background includes a Computer Science degree from Griffith University, two paid security research internships studying formal verification of smart contracts, and a fintech penetration-testing engagement in Hong Kong.
How I work: I prefer an agreed problem and clear priorities, with room to investigate the design and test alternatives. I enjoy explaining tradeoffs and making prototypes dependable enough for someone else to use.
What I am looking for: software engineering, research-software, or technical implementation work in a team that values investigation and practical delivery. AI is one area I enjoy, not a requirement: the quality of the problem and the working relationship matter more than the label.