Engineering reliable platforms. Automating what comes next.
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.