IT Support · Microsoft 365 · Active Directory · Windows · Linux · Docker · Automation

📍 Dallas–Fort Worth, Texas

I work across IT support, Microsoft 365, Active Directory, endpoint troubleshooting, Linux, Docker, networking, and automation.

I build practical tools around support operations, infrastructure diagnostics, homelab monitoring, and admin workflows. I also run the infrastructure behind this portfolio on my own Raspberry Pi 5.

Linux and Docker infrastructure running on Raspberry Pi hardware with monitoring, DNS filtering, service management, backups, and recovery planning.

Linux · Docker · Networking · DNS · Monitoring · Backups

IT support operations CLI for account auditing, SSH authentication-log review, and support-ready reporting.

Python · IT Support · Logs · Automation

Active Directory-oriented health checks covering DNS, Kerberos, LDAP, and service connectivity.

Active Directory · DNS · Kerberos · LDAP · Python

Microsoft 365 account-review workflows, administrative checks, support notes, and audit reporting.

Microsoft 365 · Entra ID · Python · Support

DNS resolution and TCP reachability diagnostics with latency reporting for troubleshooting network paths.

Networking · DNS · TCP · Diagnostics · Python

Lightweight container and service health monitoring designed for Raspberry Pi and homelab environments.

Docker · Monitoring · Linux · Python

Detects added, removed, and changed objects between directory inventory snapshots.

Read-only Microsoft Defender readiness analysis from supplied system snapshots.

Offline Docker Compose policy and risky-configuration checks.

Local log analysis with redaction, severity rules, and JSON reporting.

Docker container health and resource inspection.

Structured IT support notes and troubleshooting context.

Raspberry Pi gateway and network monitoring.

Windows administration and support checks.

I use it to watch automation state, scheduled jobs, repository activity, project generation, CI results, operational telemetry, and infrastructure health.

I built and run the workflow on my Raspberry Pi 5:

GitHub discovery
       ↓
Candidate selection
       ↓
Original project build
       ↓
Deterministic quality checks
       ↓
Lint + compile + tests
       ↓
GitHub publication
       ↓
GitHub Actions
       ↓
Mission Control

I built the system to avoid duplicate projects, recycled source ideas, stale discovery data, silent generation failures, and silent CI failures.

Historical backlog: 13 / 13 recovered Existing portfolio CI: 10 / 10 green Weekly pipeline: active Monday build: 09:00 CDT Tuesday recovery/discovery: 10:00 CDT Active weekly external LLM dependency: none

Windows · Microsoft 365 · Active Directory · Entra ID · Troubleshooting

Linux · Docker · Raspberry Pi · DNS · Networking · Monitoring

Python · PowerShell · GitHub Actions · Testing · CI/CD