Hernan Payrumani is a seasoned software engineer with 11 years of experience building large-scale computer vision and data-centric AI systems, currently driving MLOps and deep learning infrastructure at Landing AI. He combines strong backend expertise in Python and AWS Serverless with seven years of Java and over six years of JavaScript/frontend experience, enabling end-to-end production deployments from model training to scalable services. Hernan has led distributed, multicultural teams across the Americas and Asia, scaled engineering orgs, and delivered event-driven and streaming systems for startups and enterprise clients. His background includes hands-on work with TensorFlow, FastAPI, Terraform, Kubernetes, and asynchronous/multithreaded programming, plus kernel and network-level knowledge that helps when optimizing high‑load services. He also teaches algorithms and software engineering, reflecting a commitment to mentoring and continuous learning. Notably, his focus on data-centric AI highlights a pragmatic blend of ML engineering and production reliability rather than purely research-driven modeling.
11 years of coding experience
11 years of employment as a software developer
Bachelor’s Degree, Computer Software Engineering, System Engineering, Bachelor’s Degree, Computer Software Engineering, System Engineering at Universidad Católica Boliviana
Computer Science, Computer Science at Universidade Estadual de Campinas
Master’s Degree, Computer and Information Sciences, General, Master in Enterprise System Engineering, Master’s Degree, Computer and Information Sciences, General, Master in Enterprise System Engineering at Bolivian Technological University
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