Architecting intelligent cloud infrastructure that turns complexity into competitive advantage.
Founder-minded engineer obsessed with cost optimization, AI-driven automation, and enterprise-scale solutions.
core_expertise: - Cloud Architecture: Multi-cloud strategy, Azure specialization - FinOps Engineering: Cost optimization, resource management at scale - AI/ML Infrastructure: Production ML pipelines, data engineering - Infrastructure as Code: Terraform, ARM templates, GitOps workflows current_focus: - Building AI-powered cloud automation tools - Architecting FinOps platforms for enterprise - Scaling data infrastructure with Databricks
π₯ Cloud Cost Optimizer
AI-driven FinOps platform
- Real-time cost anomaly detection
- Automated resource right-sizing
- Multi-cloud support
Tech: Python Azure Terraform
Enterprise IaC framework
- Zero-touch deployments
- Policy-as-code enforcement
- GitOps-native workflows
Tech: Terraform Kubernetes Azure
Production ML infrastructure
- Automated model deployment
- Feature store integration
- Real-time inference at scale
Tech: Databricks Python Azure ML
π FinOps Dashboard
Executive cost intelligence
- Real-time budget tracking
- Predictive cost modeling
- Department-level attribution
Tech: Python Power BI Azure
"The best way to predict the future is to automate it."