Summary
Andrew Struthers is a software engineer and master's candidate in Computational Science at Central Washington University with nine years of practical experience blending applied mathematics, electrical engineering, and software development. He specializes in optimization for sustainable logistics, conducting research on the Electric Vehicle Routing Problem and developing a novel NEH-NN seed for genetic algorithms with pending publications. Skilled in High Performance Computing and CUDA, Andrew has implemented parallel Ant Colony Optimization for TSP on GPUs to dramatically cut solution times for large instances. His background includes multi-agent modeling, UI/UX web development, office automation scripting, and a patent-pending construction industry application that aims to engage younger workers. Comfortable moving between research and production, he combines algorithmic rigor with hands-on engineering to deliver computationally efficient solutions. Based in Ellensburg, WA, he seeks roles that intersect optimization, applied math, and scalable computation to tackle real-world transportation and logistics challenges.
9 years of coding experience
3 years of employment as a software developer
Master of Computational Science, Master of Computational Science at Central Washington University