Hands-on labs and case studies across security operations, cloud security, networking, systems administration, and AI-assisted engineering.
A quantitative system that tracks live sports-betting markets and acts on mispriced odds automatically. Python backend, React control room, a large real-time data pipeline, and 335 automated tests. Built end to end with AI coding tools.
A Python tool that pulls live alerts from a Wazuh SIEM, extracts MITRE ATT&CK context, and generates analyst-style triage reports with OpenAI. It began with real infrastructure troubleshooting before the pipeline came together.
Deployed a Windows 11 Pro VM in Azure and compared unauthenticated and credentialed Tenable scans. Credentials took the scan from 36 findings to 147, showing how much authentication changes visibility.
Traced an unreachable server VM layer by layer through power state, IP configuration, routing, and NetworkManager profiles. The root cause was an inactive connection profile, and I restored connectivity for good.
Designed and ran a self-hosted multi-server environment with virtualization, CentOS Linux, a BungeeCord proxy, port forwarding, DMZ configuration, Java plugins, and SQL storage. Managed a team of 8 to 10 people.
A multi-year project that uses sports analysis as a testing ground for AI reliability. I learned to control data sourcing, reduce hallucinations, and structure prompts so the model only reasons from verified inputs.