Adedamola Fasakin

I’m a DevOps Engineer with a foundation in frontend development and data analysis, and I love turning messy systems into automated, reliable workflows. I build automated infrastructure, CI/CD pipelines, and containerized systems, and I’m especially excited about integrating AI into DevOps processes. My day-to-day strength is delivering cloud-ready architectures with Docker, Kubernetes, Terraform, and Ansible—always with a developer-first mindset.

In my DevOps contract with TASC Outsourcing, I designed and implemented a full CI/CD pipeline across distributed VMs using Jenkins, Docker, SonarQube, and Nexus. I configured Jenkins remote SSH agents to enable cross-VM Docker orchestration, containerized Flask microservices and a static frontend with Docker Compose, and used PostgreSQL as the backing database for consistent, reproducible deployments. I also handled artifact versioning and storage on Nexus with automated upload scripts, and I applied practical disk-space and cleanup automation to keep builds lean.

One of my favorite builds is an AI Log Analyzer: I used Ollama with a FastAPI backend to eliminate the need for cloud-based AI platforms, then engineered structured endpoints (POST /analyze, GET /health, GET /history) with validated JSON outputs. To make it dependable in real environments, I implemented log chunking and incremental summarization for long logs and built a real-time monitoring agent with async handling and output validation layers. I also leverage Tailscale for secure inter-service networking across locally hosted containers, and I bring my earlier frontend experience (React/Next.js and DeFi/Web3 work) to ensure the systems I ship are both robust and usable.