Technical Foundations
012011 - 2019
Physics and mathematics shaped how I reason about models, uncertainty, and complex systems.
About
My background spans physics, machine learning, applied research, simulation, and engineering systems, moving from academia into industry.
Career Arc
2011 - 2019
Physics and mathematics shaped how I reason about models, uncertainty, and complex systems.
2019 - 2020
That foundation extended into applied machine learning, optimization, and predictive modelling.
2020 - 2022
Applied research across simulation, environmental forecasting, and artificial intelligence.
2024 - Present
Simulation tools and production software for engineering systems.
Background
I develop scalable software systems for launch vehicles and satellites, including full-stack web applications that support mechanical design and production.
I worked across environmental modelling, simulation, and control optimization, contributing research that connected probability, learning, and computational methods.
I graduated with a GPA of 6.82/7.00, studying deep learning, data mining, database systems, and operations research.
I taught mathematics, physics, and data science courses during my postgraduate studies.
My thesis, Hydrodynamic forces in optical tweezers, focused on mathematical and computational modelling of fluid dynamics in optical tweezers systems.
I majored in mathematics and physics, completed first class honours in Physics, and was involved in research throughout much of my undergraduate degree.
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The rest of the site covers the projects, research, and writing behind this profile.