Rinku Pradhan

Background

About Rinku Pradhan

I am a results-driven DevOps & MLOps Engineer with 3+ years of experience in designing, automating, and managing multi-cloud infrastructure and CI/CD pipelines across AWS, Azure, and GCP. My expertise lies in building resilient cloud-native platforms, automating deployments, and integrating DevOps with AI/ML workflows to enhance speed, scalability, and cost efficiency.Throughout my career, I have successfully delivered enterprise-scale projects in the FinTech, Energy & Utilities, and Consulting domains, where I implemented robust CI/CD pipelines, containerized applications, and automated cloud infrastructure provisioning. I specialize in infrastructure as code (IaC) using Terraform, ARM Templates, Ansible, and CloudFormation, ensuring repeatable and compliant deployments.I have deep hands-on experience with Kubernetes (EKS, AKS, GKE), Helm, ArgoCD, and GitOps methodologies, enabling teams to achieve faster and safer application rollouts with Blue/Green and Canary deployments. On the CI/CD side, I have built and optimized pipelines using Jenkins, GitHub Actions, Azure DevOps, GitLab CI/CD, and AWS CodePipeline/CodeBuild, improving release efficiency by up to 40%.My background includes implementing cloud monitoring and observability solutions using Prometheus, Grafana, CloudWatch, Azure Monitor, GCP Ops Suite, Loki, and Fluent Bit, as well as setting up custom SLA dashboards and reducing MTTR through automated alerts and runbooks. I also bring strong experience in security and DevSecOps practices, including IAM, KMS, Secrets Manager, Snyk, Fortify, and OWASP integration into pipelines.In addition to core DevOps, I am passionate about AI/ML-driven automation. I have worked on MLOps solutions using SageMaker, MLflow, Kubeflow, Feature Store, and predictive analytics pipelines, and leveraged GenAI tools like GitHub Copilot and ChatGPT to accelerate development, IaC, testing, and drift detection.My strengths include cross-team collaboration, problem-solving, and driving initiatives that reduce operational toil, optimize cloud spend, and enable digital transformation. I am also experienced in ServiceNow, Jira, Agile, ITIL-based incident/change management, and FinOps practices.I am continuously learning and hold multiple cloud and DevOps certifications (AWS, Azure, GitHub, Microsoft DevOps Expert). My career goal is to advance as a Cloud & DevOps Architect, where I can design enterprise-grade, secure, and intelligent platforms that integrate modern DevOps, SRE, and AI/ML capabilities.