RebootAI is an engineering portfolio and project ecosystem focused on reliable infrastructure, cloud operations, automation, observability, and AI-assisted workflows.

The work showcased here combines Linux operations, Python automation, APIs, CI/CD, monitoring, container platforms, and practical engineering documentation.

A Python-based real-time automation and decision-support platform integrating market data, state management, Telegram controls, monitoring, and service deployment.

Focus: Python, Linux, systemd, APIs, automation, monitoring, reliability, state machines

Automation for organizing job discovery, resume tailoring, application workflows, and career intelligence.

Focus: workflow automation, APIs, AI-assisted processes, structured data, operational efficiency

Linux, Docker, monitoring, deployment, troubleshooting, and cloud-operations projects.

Focus: Linux, AWS, Docker, observability, incident response, infrastructure support

Hands-on platform engineering labs covering OpenShift, Argo CD, container deployment, GitOps, and operational workflows.

Focus: OpenShift, Kubernetes, GitOps, Argo CD, platform operations

Practical AWS projects focused on EC2, IAM, networking, CloudWatch, automation, deployment, and operational reliability.

Focus: AWS, EC2, IAM, VPC, CloudWatch, automation

Production-minded workflows involving AI agents, LLM integrations, APIs, webhooks, and intelligent automation.

Focus: AI agents, LLM workflows, APIs, webhooks, automation

• Platform engineering and cloud operations
• Linux administration and production support
• Python, Bash, APIs, and webhook automation
• CI/CD and deployment workflows
• Docker, OpenShift, Kubernetes, and GitOps
• Monitoring and observability with Grafana, Prometheus, Dynatrace, and CloudWatch
• Reliability engineering, troubleshooting, and incident response
• AI-assisted engineering and workflow automation

Languages and scripting: Python, Bash, SQL, PowerShell
Cloud and infrastructure: AWS, EC2, VPS, Azure, Linux, systemd, SSH
Containers and platforms: Docker, OpenShift, Kubernetes
CI/CD and GitOps: GitHub Actions, Jenkins, GitLab CI, Azure DevOps, Argo CD, Bitbucket
Observability: Grafana, Prometheus, Dynatrace, CloudWatch, ELK, Splunk
Automation and integration: REST APIs, webhooks, n8n, AI agents, LLM workflows
Data: PostgreSQL, MySQL, SQL Server

RebootAI
│
├── ExtremeViper
├── JobFlow
├── CloudOps
├── OpenShift Labs
├── AWS Labs
├── AI Automation
├── Engineering Blog
└── Documentation

• Establish the RebootAI GitHub identity
• Launch the RebootAI profile repository
• Overhaul the ExtremeViper repository
• Add architecture diagrams and engineering documentation
• Add GitHub Actions quality checks
• Publish release history and project roadmaps
• Launch the RebootAI website and engineering blog

Platform Engineer | DevOps Engineer | Automation Engineer

Focused on Linux, cloud operations, infrastructure automation, observability, reliability, and AI-assisted engineering.