Oluwanfifehanmi O.

I started my tech journey in game development, moved into backend engineering, and eventually found my passion in DevOps. I love building pipelines that just work—automating tedious processes, optimizing infrastructure, and helping teams ship faster and safer. One of my most rewarding recent projects was deploying a machine learning model using FastAPI on Kubernetes, complete with CI/CD, observability via Prometheus and Grafana, and experiment tracking using MLflow. It pushed me to explore not just infrastructure, but also MLOps and the nuances of scaling real-world applications. I’m especially drawn to solving problems at scale—setting up centralized logging, fine-tuning Helm charts, debugging tricky Kubernetes issues, and making infrastructure reproducible and maintainable with Terraform. I thrive in environments where speed and stability are both top priorities. What sets me apart is my ability to jump into messy systems, untangle them, and bring clarity with automation, monitoring, and better workflows. I don’t just keep things running—I make them run better.