Work
Selected work across AI, security, and cloud platforms
A representative look at the kind of programs I lead: AI-driven reliability, DevSecOps, multi-cloud architecture, and platform engineering, built for environments where compliance and uptime both matter.
AI-Driven Incident Prediction Platform
Built machine-learning-assisted alerting that predicts infrastructure incidents before they impact customers, cutting mean-time-to-detect for regulated production environments.
Policy-as-Code DevSecOps Framework
Designed OPA-based policy-as-code guardrails and IAM controls embedded directly into CI/CD pipelines, enforcing security and compliance automatically on every deploy.
Multi-Cloud Modernization Program
Led enterprise modernization across AWS, Azure, and Google Cloud, standardizing architecture patterns for regulated FinTech and Healthcare workloads.
Kubernetes & OpenShift Platform Engineering
Architected multi-tenant Kubernetes and OpenShift platforms supporting mission-critical government and enterprise workloads with hardened security baselines.
Observability & Reliability Stack
Implemented Prometheus, Grafana, and OpenTelemetry pipelines giving teams end-to-end visibility and faster incident response across distributed systems.
GitOps Infrastructure as Code
Rolled out Terraform and ArgoCD-driven GitOps workflows, replacing manual provisioning with auditable, version-controlled infrastructure delivery.