Summary
Aaron Vose is an HPC engineer with a decade of experience building and optimizing software across the spectrum from embedded systems to flagship supercomputers like Titan and Kraken. He combines low-level C/C++ performance engineering—extending Intel OneDNN, hand-optimizing SSE/AVX kernels, and developing Linux kernel drivers—with practical machine learning expertise in deep neural networks and genetic algorithms that have produced publications and new product offerings. Aaron has led ML research projects and productionized pipelines for genomics (nanopore sequencing) and 5G infrastructure, and has operational experience managing MPI/SLURM hybrid CPU–GPU clusters. His background in both academic research and industry R&D gives him a rare ability to translate novel algorithms into high-performance, deployable code. Based in Falmouth, MA, he brings a mix of systems-level rigor and applied ML pragmatism that surfaces in performance wins and product-ready solutions.
10 years of coding experience
15 years of employment as a software developer
Master of Science, Computer Science, Master of Science, Computer Science at University of Tennessee, Knoxville