Summary
Moss G is a Senior Software Engineer based in Auckland with 11 years of experience building production-ready backend systems and AI-driven platforms. He specialises in LLM orchestration, agent architectures, and workflow patterns, marrying deep Java/Spring Boot and AWS expertise with practical trade-offs around cost, latency, and operability. At MyWave.AI he led end-to-end LLM deployment and R&D—moving Python proofs-of-concept into production while achieving 99.99% intent classification via systematic prompt and context engineering. Prior roles span scalable IoT data pipelines, CI/CD and infra-as-code, and secure media/export services, showing strength across cloud-native architectures and operational tooling. Moss prefers predictable, cost-efficient approaches (opting for context engineering over RAG in production) and has a track record of cutting maintenance and build times through DSL testing frameworks and automation. His background in ecology-turned-software engineer hints at a systems-thinking approach to complex, real-world problems.
11 years of coding experience
9 years of employment as a software developer
GDip level 7, Computer Software Engineering, GDip level 7, Computer Software Engineering at Unitec
Master of Arts (M.A.), Ecology, Master of Arts (M.A.), Ecology at Capital Normal University