Optimisation & OR

Proficient

Integer programming (MIP), genetic algorithms, and solver-based scheduling.

Mixed-integer programming for staff scheduling and timetabling (CBC solver), and genetic algorithms for model calibration and neural-network training.

Projects using Optimisation & OR

OPTIMA — Battlefield Simulation2022 – 2025
Operational-level multi-agent battlefield simulation; profiling and optimization cut resource use ~5× and made it ~5× faster.
Staff Scheduling Optimiser2021
A mixed-integer-programming tool for retail staff scheduling, deployed across ~1,500 stores and ~6,000 employees.
SIMCO — Epidemiological Simulation2022
An agent-based epidemic simulation on GIS data, calibrated to government data with a genetic algorithm; 3× memory reduction after optimisation.
Class-Timetable Generator (BEng Thesis)2023
A client-server system generating class timetables with a MIP optimiser, delegating solver jobs asynchronously to Docker containers queued via RabbitMQ and Celery.