Projects
Mathematical programming, operations research, and algorithmic optimisation — solving real-world problems with rigorous quantitative methods.
Implements gradient descent variants, Newton's method, and other ML optimisation algorithms both via scipy.optimize and from scratch — revealing what happens inside ML solvers.
Formulates and solves a vaccine supply chain problem in Pyomo, optimising allocation and logistics under capacity and demand constraints — motivated by real Covid-19 distribution challenges.
Industrial engineering project scheduling moulding production across press lines at an automotive factory — applying combinatorial optimisation to minimise makespan and meet production deadlines.