Summary
Carlos Guerra is a software engineer with 8 years of experience, currently building scalable systems at Google and specializing in machine learning-driven solutions. He combines strong academic research—developing graph CNNs and ResNet models for protein structure prediction and improving antibody loop simulations—with practical production skills in Python, SQL, AWS, and Tableau. Carlos has bridged research and engineering repeatedly, turning deep learning outputs into constrained simulations and deployable analytics dashboards that shortened delivery timelines. A high-achieving George Mason graduate (CS GPA 3.96), he brings both rigorous technical foundations and hands-on problem solving, from robotics path-planning to inventory forecasting tools. He’s motivated by data-oriented product impact and has a proven ability to translate novel ML architectures into measurable improvements in real systems.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computer Science, CS GPA: 3.96, Overall GPA: 3.91, Bachelor's degree, Computer Science, CS GPA: 3.96, Overall GPA: 3.91 at George Mason University
Spanish, English