Bruno Arine is a Staff Edge AI Engineer with 11 years of experience building and deploying computer vision and MLOps solutions across cloud and constrained edge environments. Based in São Paulo, he combines a strong physics and radiometry background with practical ML engineering—having improved laboratory accuracy from 90% to 99% and delivered high-impact deployments for clients like Disney Parks and the LA Clippers’ Intuit Dome. He leads technical teams end-to-end, from architecture and model optimization to on-site support, and is fluent in Python, AWS/Azure, and production-grade tooling. Known for automating tedious workflows and working effectively with messy, unstructured data, he also brings rigorous statistical validation and Monte Carlo simulation experience uncommon in many ML practitioners.
11 years of coding experience
17 years of employment as a software developer
Master's degree Environmental Sciences, Master's degree Environmental Sciences at Universidade Estadual Paulista Júlio de Mesquita Filho
Bachelor's degree Physics, Bachelor's degree Physics at Universidade de Sorocaba
Bachelor's degree Physics, Bachelor's degree Physics at Universidade Estadual de Campinas
Emacs package that helps org-mode users (re)discover similar documents
Contributions:8 releases, 2 reviews, 95 commits in 2 years 1 month
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