Ítalo Epifânio is a Machine Learning Engineer with a decade of software experience and over five years focused on applied ML and platform engineering. He builds production-grade ML systems for predictive maintenance and observability at Shape Digital, leveraging Databricks, MLflow, Grafana/Loki and time-series engines like TDEngine, and has published internal Python libraries to streamline logging and SQL parsing. Earlier roles span R&D for open-source tooling (Ipyannotator) and full‑stack TALL/Vue/Laravel development for international clients, where he led teams and integrations with Stripe, Twilio and other services. His background includes national-scale healthcare platforms for Brazil’s Ministry of Health and a long history of mentoring and teaching that began at age 15 in a federal technical institute. An active community organizer and speaker, he helped run Python Nordeste 2024 and PHPeste 2022, blending research, product delivery and developer advocacy. He’s completing advanced studies in visualization and data analysis at USP, combining strong engineering craft with research-driven curiosity.
10 years of coding experience
4 years of employment as a software developer
Master's degree, Graphs, Images, Visualization and Data Analysis, Master's degree, Graphs, Images, Visualization and Data Analysis at USP - Universidade de São Paulo
Bachelor, Information Technology, Bachelor, Information Technology at Federal University of Rio Grande do Norte
Técnico, Informatics, Técnico, Informatics at Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte (IFRN)
Contributions:12 commits, 1 PR, 2 comments in 18 days
Contributions summary:Ítalo primarily contributed to the development of UI components within the Laravel-based project. Their work involved modifying existing components and creating new ones, with a focus on integration with Livewire and Tailwind CSS. They also made changes to configuration files and service providers to enhance component functionality and resolve component alias issues. The user's commits indicate a strong emphasis on component customization and improvements to the user experience.
Contributions:5 releases, 4 reviews, 66 commits in 10 months
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Ítalo Epifânio - Machine Learning Engineer at Shape