Rishi K.

My journey into DevOps began over a decade ago, rooted in a deep passion for systems, automation, and problem-solving. I started my career as a Linux administrator, but quickly evolved into DevOps as I realized the power of infrastructure as code, CI/CD pipelines, and cloud-native architectures in accelerating innovation. Today, I bring over 13 years of hands-on experience, having architected, deployed, and scaled cloud infrastructure for enterprises across healthcare, fintech, and SaaS domains. One of my proudest recent accomplishments was leading a cloud modernization project for a healthcare client at Doceree, where I migrated legacy systems to AWS using Terraform, Docker, and EKS. This not only improved deployment frequency by 70% but also reduced cloud costs by 40% through optimized autoscaling and observability. In the past few years, I’ve also transitioned into MLOps, where I’ve helped data science teams productionize machine learning models using Kubeflow, MLflow, and Azure ML. I'm particularly passionate about predictive pipelines—combining monitoring, automation, and data insights to preempt incidents and ensure platform reliability at scale. Where others struggle, I bring clarity and structure—whether it's designing GitOps workflows, implementing zero-downtime deployments, or leading SRE teams. My unique blend of expertise in AWS, Azure, Kubernetes, Terraform, CI/CD, and ML orchestration allows me to bridge the gap between development, operations, and AI/ML teams. I'm constantly learning—from new IaC frameworks to secure DevSecOps integrations—and I thrive on building systems that not only work but scale beautifully under pressure. If you’re looking for a leader who can automate everything, mentor teams, and build resilient, intelligent infrastructure—I’m ready to bring that edge to your organization.