Loading...
Loading...
A showcase of professional work and personal projects exploring platform engineering, MLOps, and cloud-native technologies.
Architected multi-region Azure Databricks platform processing 50TB+ daily data. Implemented Pulumi and Crossplane for infrastructure automation.
Led migration of 200+ microservices from VMs to Kubernetes, transforming deployment frequency from weekly to 50+ times daily.
Personal projects exploring MLOps, AI infrastructure, and advanced Kubernetes patterns.
Building an end-to-end MLOps platform for model training, versioning, and deployment. Enables data science teams to go from experiment to production with self-service workflows.
Designing infrastructure for running large language models at scale. Focus on cost optimization, GPU scheduling, and high availability for AI workloads.
Custom Kubernetes operator written in Go that automates database backup workflows. Handles scheduling, retention policies, and disaster recovery across multiple database types.