Summary
Pedro Pimenta is a PhD student and experienced machine learning engineer with a decade of industry and research experience spanning graph representation learning, NLP, image and signal processing. He has designed and deployed production ML systems at scale—handling terabytes of satellite imagery, building MLOps pipelines, and optimizing AWS infrastructures—while publishing research on graph optimization, 3D medical image segmentation, and CNN reliability. Fluent in Portuguese, English (Cambridge C2) and French, Pedro bridges theoretical rigor and practical engineering, moving projects from model development to monitoring in production. Notably, his background combines hands-on cloud and DevOps work (Terraform, Kubernetes, SageMaker) with deep-learning research skills, reflecting a rare mix of systems-level production expertise and academic contributions.
10 years of coding experience
4 years of employment as a software developer
Master's degree Image Modélisation et Informatique, Master's degree Image Modélisation et Informatique at CPE Lyon
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Federal University of Rio Grande do Sul
English, Portuguese, French, Spanish