I am a highly motivated, detail-oriented and experienced self-taught software engineer with a background in aerospace engineering and materials science. My expertise is in Go, Python, AWS Serverless, REST APIs and microservices/distributed systems. I take pride in producing reliable, clean, robust and well-documented software and systems. I also enjoy mentoring other engineers and sharing knowledge/experience in areas where I'm able to do so. I have a lot of side projects (sometimes too many) and enjoy learning new things to expand my skillset, I have also open sourced a few projects, and am an active open source contributor and maintainer.
Innovative use of CFD models combined with liquid metal crystallisation and genetic algorithms in order to predict liquid-solid aluminium bonding to a composite insert.
Application of machine learning techniques to thermo-mechanical fatigue damage prediction in aerospace materials.