Opeyemi Folorunsho is an engineer with 10 years of experience blending data science, software engineering and cloud-native DevOps, currently building at InfluxData in Germany. Trained with an MSc in Electronics and Computer Engineering from the University of Birmingham, he brings deep systems thinking across C++, Java, Python and machine learning. His background spans payments and high-throughput services at Interswitch and Namshi to data-driven roles at FREE NOW, where he bridged product analytics and production systems. An active contributor to Kubernetes tooling, he improved KinD support and CI automation in the popular garden-io project, showing a knack for making production-like environments reproducible and fast. Colleagues know him for pragmatic architecture and a consistent focus on developer workflows that accelerate testing and delivery.
10 years of coding experience
7 years of employment as a software developer
Master of Science (MSc), Electronics and Computer Engineering, Master of Science (MSc), Electronics and Computer Engineering at The University of Birmingham
Bachelor of Engineering (BEng), Information and Communication Technology, Bachelor of Engineering (BEng), Information and Communication Technology at Covenant University
Automation for Kubernetes development and testing. Spin up production-like environments for development, testing, and CI on demand. Use the same configuration and workflows at every step of the process. Speed up your builds and test runs via shared result caching
Role in this project:
DevOps Engineer
Contributions:2 reviews, 12 commits, 19 PRs in 11 months
Contributions summary:Opeyemi primarily focused on enhancing the Kubernetes development and testing workflows within the `garden-io/garden` repository. Their contributions include adding support for KinD (Kubernetes in Docker) clusters, which involved modifying the codebase to interact with KinD, loading images, and managing Kubernetes configurations. Furthermore, they improved the logging system by integrating `stern` for more efficient log tailing and introduced automation using Docker and Terraform. Additionally, the user updated the Node version in the Docker files and included tools like AWS and gcloud.
Contributions:14 pushes, 1 branch in 2 years 6 months
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