Project
FarEye's Vehicle Routing Solver
The route optimisation engine behind FarEye's planning product, built on Iterated Local Search and running in seven regions.
The problem
Enterprise fleets need daily plans that respect dozens of rules at once: delivery time windows, vehicle capacity, driver shifts, EV charging, multi-trip reloads, and LTL/FTL planning.
What I built
I own the architecture and development of the solver. It uses Iterated Local Search heuristics and is deployed on Kubernetes across seven global regions. I turned more than fifteen client requirements into production constraints and owned each one from scoping to UAT sign-off.