Summary
Carlos Sandoval is a performance-focused software engineer with eight years of experience applying parallel computing, scientific computing, and performance engineering to machine learning and quantitative finance problems. He holds an MSc in High Performance Computing with Data Science from the University of Edinburgh and has built production systems spanning blockchain development at Gluwa, data science consulting, and high-performance software at ITERA LABS. Carlos programs with a focus on Rust and low-level optimizations, turning algorithmic ideas into efficient, scalable implementations for trading and research workloads. He blends academic HPC rigor with practical product experience, often bridging numerical modelling and systems engineering to squeeze out measurable performance gains.
8 years of coding experience
3 years of employment as a software developer
MSc. High Performance Computing with Data Science, Computer Science, with Merit, MSc. High Performance Computing with Data Science, Computer Science, with Merit at The University of Edinburgh
ITESO Universidad Jesuita de Guadalajara