Building reliable cloud platforms, automated delivery pipelines, and production-ready systems with a focus on DevOps, CI/CD, infrastructure automation, monitoring, and AI-assisted workflows.

I am a software engineer focused on DevOps, Cloud Engineering, Platform Engineering, SRE, and AI-powered automation. My work includes CI/CD pipelines, cloud infrastructure, Docker, Kubernetes, Terraform, Jenkins, GitHub Actions, HashiCorp Vault, Python scripting, monitoring, production support, and enterprise workflow development with Pega.

I enjoy building automation that reduces manual work, improves reliability, and helps teams deliver software faster and more safely.

• Target roles: DevOps Engineer, Cloud Engineer, Platform Engineer, SRE, AI Automation Engineer
• Core strengths: CI/CD, Kubernetes, Docker, Terraform, Cloud, Monitoring, Production Support
• Automation focus: Python scripting, AI-assisted workflows, infrastructure automation
• Enterprise experience: Pega application development, workflow systems, integrations, support
• Current direction: Cloud-native DevOps, SRE practices, platform automation, AI for operations

I am building my portfolio around the intersection of DevOps, cloud platforms, reliability engineering, and AI automation.

• Automating repetitive DevOps and production support tasks
• Building CI/CD pipelines for reliable software delivery
• Using Python scripts to improve engineering workflows
• Applying AI tools to log analysis, monitoring, documentation, and operations
• Designing cloud-native systems with reliability and scalability in mind
• Improving deployment, rollback, and incident response processes

• Advanced Kubernetes architecture and cluster operations
• Terraform modules, remote state, and infrastructure governance
• HashiCorp Vault operations and secrets management
• AWS, Azure, and GCP cloud architecture patterns
• SRE practices: SLIs, SLOs, incident response, observability
• AI-assisted DevOps workflows and automation agents
• Production-grade CI/CD pipelines with GitHub Actions and Jenkins

Repository: release-rollback-decision-service

Deterministic release-gate service that evaluates rollout evidence and recommends continue, pause, or rollback decisions.

Key skills: Python, FastAPI, CI/CD release gates, Prometheus metrics, Kubernetes, Terraform

Repository: vector-search-support-assistant

Support assistant that retrieves incident runbooks, returns cited next actions, and includes retrieval evaluation gates.

Key skills: Python, FastAPI, vector search, retrieval evaluation, support automation, Docker

Repository: incident-log-summarizer

CLI and FastAPI service that turns noisy logs into severity, evidence, probable cause, and next-action summaries.

Key skills: Python, incident triage, SRE, Kubernetes signals, Prometheus metrics, API design

Repository: mlops-model-drift-monitor

MLOps project for comparing baseline and current model inputs, producing drift reports, and exposing CLI/API checks.

Key skills: MLOps, drift detection, FastAPI, CLI tooling, Docker, Kubernetes

Repository: prometheus-slo-alert-lab

SRE lab for evaluating multi-window SLO burn rates and routing page, ticket, or ok decisions.

Key skills: Prometheus, SLOs, burn rates, incident response, FastAPI, Terraform

• Practical DevOps and cloud engineering mindset
• Strong interest in automation, reliability, and platform improvement
• Experience supporting enterprise applications and production workflows
• Ability to connect software engineering, DevOps, and business process systems
• Continuous learning across Kubernetes, Terraform, Vault, SRE, and AI automation

DevOps Engineer | Cloud Engineer | Platform Engineer | SRE | AI Automation Engineer | Production Support Engineer