Summary
Cesar Romero is a principal machine learning engineer and founder based in Seattle with 11 years of hands-on experience building production ML systems across computer vision, recommenders, RL and LLMs. He’s helped shape AI strategy and scalable ML platforms at companies from Amazon to Unity, where he led synthetic data initiatives, open-source perception tooling, and drove cross-company ML platform design. As owner of R5 he advises startups and enterprises on ML team building, cloud scaling, and pipeline robustness, with projects ranging from patient observation computer vision to recommender systems for retail and generative AI for games. Cesar combines deep engineering discipline—automating HPO and large-scale model deployment—with a knack for developer productivity, having redesigned core codebases and edge provisioning to accelerate scientists. He also mentors and tutors privately, sharing his passion for computer science and practical AI. A background spanning satellite-image research, distributed systems, and production ML gives him a rare full-stack perspective on turning research into reliable products.
11 years of coding experience
13 years of employment as a software developer
Engineer Computer Engineering, Engineer Computer Engineering at Universidad Simón Bolívar
University of California, Los Angeles
Spanish, English, German