DevOps and AI automation workstation with cloud dashboards

DevOps | Cloud | Platform Engineering | SRE | AI Automation

Building reliable cloud platforms, CI/CD systems, and AI-assisted operations.

Software engineer focused on Kubernetes, Terraform, Vault, Docker, FastAPI, Jenkins, GitHub Actions, AWS, Azure, GCP, Python automation, monitoring, production support, and enterprise workflow systems.

Positioning

Cloud-native engineering with production-support discipline.

I connect DevOps, SRE, platform engineering, and AI automation with practical enterprise delivery experience. My goal is to build systems that are easier to deploy, monitor, recover, and improve.

Core Stack

Tools I use to build and operate reliable systems.

Kubernetes Docker Terraform Vault AWS Azure GCP GitHub Actions Jenkins Python FastAPI Prometheus Monitoring Pega

Featured Work

Selected work from recent engineering projects.

SRE | Alert Correlation | FastAPI | Prometheus

On-Call Alert Correlation Engine

Deterministic SRE engine that groups noisy alerts, suppresses duplicate pages, and checks ownership, escalation, and runbook readiness.

View on GitHub

AI Automation | Incident Response | Evaluation

AI Incident Runbook Generator

AI-assisted incident runbook generator with CLI and API review paths, redaction checks, and quality-history gates for safer response drafts.

View on GitHub

CI/CD | Supply Chain | FastAPI | Prometheus

CI/CD Release Risk Scanner

Release gate that evaluates deployment readiness and software-supply-chain evidence, including SBOMs, provenance, signatures, vulnerabilities, and licenses.

View on GitHub

Terraform | Policy as Code | FastAPI

Terraform Cost Policy Guard

Policy engine that reviews Terraform plan JSON for cost, destructive-change, public-ingress, and privileged-IAM risks before deployment.

View on GitHub