A few years ago, I was a delivery driver in Bangkok. I saw firsthand how inefficient algorithms stressed out drivers. At that time, I didn't even know what "NP-hard" meant—I just knew the system could be better. So, I started building.

The Journey of an Outsider: I have no CS background. I hold a vocational diploma in Goldsmithing from 20 years ago. Before this, I was unemployed and had no PC. My only tool was a $100 Android smartphone (3,000 THB).

I spent 16 hours a day architecting the logic via Pydroid 3. Because I didn't know standard optimization libraries existed, I designed my own deterministic logic architecture from the ground up. I just thought that was how software was built.

The Technical Skepticism: When I shared my work locally, the skepticism was purely technical. People couldn't believe a standard Snapdragon environment could solve 10,000-node VRP instances without runtime explosions, doubting mobile hardware could handle an NP-hard problem of this scale.

The Result: By relying purely on deterministic, axiomatic logic rather than standard metaheuristics, the engine (GSL Solver) now handles up to 10,000 nodes with stable execution across standard benchmarks (CVRP, VRPTW, MDVRP).

I’ve kept the benchmark outputs transparent for inspection: https://github.com/CT1-deMo-goG/CT1-deMo-goG

You can run the live deterministic engine here: https://gsl-solver.com

P.S. Even the front-end website was built entirely on that same smartphone using Acode. I'd love to hear your thoughts on the architectural approach of building solvers entirely from scratch without standard libraries.