Gokul R

DevOps Engineer focused on cloud infrastructure, automation, CI/CD pipelines, Kubernetes, and zero-cost scalable architectures.

About Me

I am a DevOps Engineer who enjoys building reliable systems, automating everything, and simplifying complex infrastructure. I believe good DevOps is not about tools, but about reducing friction between development and production.

My focus areas include cloud-native infrastructure, Kubernetes orchestration, CI/CD automation, MLOps pipelines, and platform engineering. I prefer practical, cost-efficient solutions over flashy but fragile setups.

Skills & Technologies

Cloud & Infrastructure

AWS IAM VPC EC2 S3 Cloudflare

Containers & Orchestration

Docker Kubernetes Helm kubectl

CI/CD & Automation

GitHub Actions Git Linux Bash Makefile

MLOps & Monitoring

Model Versioning Drift Detection Prometheus Grafana Logging

Featured Projects

Zero-Cost End-to-End MLOps Pipeline

Designed and built a fully local MLOps pipeline with automated training, model versioning, Dockerized inference service, and Kubernetes deployment. Integrated CI workflows to retrain and redeploy models on every commit.

Tech: Python, Docker, Kubernetes, GitHub Actions

Kubernetes Observability Stack

Implemented monitoring and logging for containerized workloads using Prometheus and Grafana. Created alert rules and dashboards to detect performance regressions and failures.

Tech: Kubernetes, Prometheus, Grafana

Cloudflare-Hosted DevOps Portfolio

Built and deployed a static portfolio website using Cloudflare Pages with custom domain, HTTPS, and global CDN. Zero hosting cost with production-grade performance.

Tech: Cloudflare Pages, GitHub

Learning & Experience Journey

Linux & Networking Foundations

Built strong fundamentals in Linux, process management, networking concepts, and system troubleshooting.

Cloud & DevOps Tools

Learned AWS core services, Docker, Kubernetes, and infrastructure automation. Focused on cost-aware and secure setups.

Advanced DevOps & MLOps

Implemented CI/CD pipelines, monitoring stacks, and real-world MLOps workflows including drift detection and automated deployments.

Contact

Interested in DevOps, cloud infrastructure, or platform engineering discussions? Feel free to reach out.

📧 Email: your-email@example.com
💻 GitHub: github.com/your-username
🔗 LinkedIn: linkedin.com/in/your-profile