Fernando Correia is a technical lead manager and architect with 17 years of software engineering experience and a deep focus on scalable data science and AI platforms. He helped build cornerstone components of Domino Data Lab’s acclaimed platform—pluggable workspaces, Kubernetes-based workload deployment, and scalable model inference—then continued shaping AI infrastructure at Snorkel AI before moving into leadership at Galileo. Known for blending hands-on engineering with people management, he has a long track record of automating complex deployments (including notable contributions to the TechEmpower FrameworkBenchmarks Windows/Azure tooling). Early career work spans enterprise systems, cloud evangelism, and an MSV-recognized push to modernize architectures, giving him rare breadth from low-level automation to product-scale AI services. Based in San Francisco, he combines pragmatic engineering, operational rigor, and a penchant for solving platform-level challenges that enable data science teams to ship.
17 years of coding experience
39 years of employment as a software developer
(unfinished) Data Processing, (unfinished) Data Processing at FURB - Universidade de Blumenau
Source for the TechEmpower Framework Benchmarks project
Role in this project:
DevOps Engineer & Backend Developer
Contributions:56 commits in 29 days
Contributions summary:Fernando primarily focused on improving the deployment and installation process for the framework benchmarks. They made significant contributions to the Windows installation by installing Cygwin and resolving issues with PHP installation by dynamically scraping file names. Additionally, the user automated the deployment process on Windows Azure, including VM creation and configuration. Further improvements included enhancing error handling and improving logging for the installation scripts.
Contributions:92 commits, 66 pushes, 1 branch in 2 years 2 months
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Fernando Correia - Technical Lead Manager at Galileo