Summary
Sandeep Dhakal is an MLOps software engineer and AI-trained computer scientist with a decade of experience building simulation-driven, data-focused systems and integrating heterogeneous data streams. He holds a PhD in Artificial Intelligence and has translated academic research at CSIRO and Australian universities into practical projects, most recently developing a Digital Twin for agricultural pest management. Proficient in Python and fluent across languages like Java, Kotlin, Swift, Go and JavaScript, he bridges modelling, backend services, dashboards and Linux HPC workflows to deploy reproducible ML solutions. His background in interdisciplinary modelling of human decision-making and climate-driven movement gives him a rare combination of domain insight and production engineering. Based in Queensland, Australia, he complements research credibility with hands-on app and infrastructure experience stretching back to independent mobile development and IT consultancy.
10 years of coding experience
10 years of employment as a software developer
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at University of St Andrews
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at University of Newcastle
Bachelor of Computer Science and Software Engineering, Computer Science, Bachelor of Computer Science and Software Engineering, Computer Science at Swinburne University of Technology