Summary
Matthew Axell is a CTO and AI engineer with 12 years of software experience and a strong academic foundation (Master's with HD) in Artificial Intelligence and Machine Learning from the University of Adelaide. He builds practical, scalable AI systems—leveraging LLMs to generate diagrams, records and analysis tools—and has hands-on expertise with PostgreSQL, Redis and AWS. His background spans product-focused roles from ERP feature development and API integrations to research-driven predictive and classification models, bridging academia and industry. At myosh and now Ahfy he focuses on turning recent LLM advances into customer-facing automation, while earlier roles show a pattern of shipping bespoke tooling (including C# sync services and JS web apps) that streamline operations. Colleagues describe him as equally comfortable presenting roadmap progress as leading sprints, reflecting both technical depth and delivery leadership.
12 years of coding experience
3 years of employment as a software developer
Master's degree, Artificial Intelligence and Machine Learning, HD, Master's degree, Artificial Intelligence and Machine Learning, HD at University of Adelaide
Bachelor of Science - BS, Artificial Intelligence, 3.5+ CGPA, Bachelor of Science - BS, Artificial Intelligence, 3.5+ CGPA at Asia Pacific University of Technology and Innovation (APU / APIIT)