About
I design and automate cloud systems—primarily on Azure—that improve deployment speed and production reliability. As a DevOps Engineer, I focus on turning complex infrastructure into scalable, automated, and production-ready systems. My work centers on building CI/CD pipelines, implementing Infrastructure as Code, and ensuring deployments are fast, secure, and repeatable across environments. In my current role, I reduced deployment time by 40% by designing and optimizing YAML-based pipelines in Azure DevOps and GitLab CI/CD. I’ve provisioned and managed cloud infrastructure mainly on Azure using ARM templates and Terraform, working with services like App Services, Databricks, OpenAI, AI Foundry, Key Vault, and Data Factory. I also have hands-on experience with AWS (ECS, ECR, S3), applying similar DevOps practices in multi-cloud setups. I manage dev, QA, and production environments, ensuring consistency, least-privilege access, and high availability. My work includes automating deployments, improving observability, and maintaining production-grade systems. I’ve built solutions ranging from enterprise AI analytics platforms on Azure to GPU-based cloud infrastructure on AWS for containerized applications. Across these, I combine Docker-based containerization, CI/CD automation, and monitoring to deliver systems that are scalable, reliable, and easy to operate. My core strengths include CI/CD automation, Infrastructure as Code (Terraform, ARM), Azure cloud architecture, containerization, and building systems designed for scale and resilience. I’m also actively working with Kubernetes to strengthen my container orchestration skills. I’m now looking for opportunities to build and scale platform infrastructure, improve deployment reliability, and contribute to complex cloud-native systems at a larger scale.
Education
Postgraduate Degree, Computer Science, Fergusson College, Pune
Bachelor of Science - BS, Computer Science, Fergusson college
