Summary
Diego Plata is a Machine Learning Engineer with 11 years of experience combining a Computer Systems Engineering background and a Master's in Applied Mathematics to build and deploy production-ready ML and deep learning solutions. He has focused on computer vision and data science projects, developing and optimizing TensorFlow models and wrapping them with FastAPI for scalable deployment using Docker on Linux. At VU Security and prior research and engineering roles, he has worked across the ML lifecycle including model evaluation, monitoring, and production integration. Comfortable bridging research and engineering, Diego brings a quantitative mindset to practical system design and is particularly adept at turning complex mathematical ideas into reliable, deployable services.
11 years of coding experience
4 years of employment as a software developer
Master, Master at Universidad Industrial de Santander
General English for Academic Purposes, General English for Academic Purposes at University of Adelaide
Computer Systems Engineer, Computer Systems Engineer at Industrial University of Santander
Spanish, English