π» Senior Operations Engineer @ ThreatSpike Labs
π Security-Focused IT | Automation | AI Systems
π MS in Artificial Intelligence β Kent State University (Expected December 2026)
I work at the intersection of cybersecurity, operations engineering, automation, and applied AI.
My background combines hands-on IT operations, endpoint security, infrastructure support, documentation, and software engineering with a growing focus on AI-assisted systems and operational tooling. I enjoy taking high-variation technical problems from first report through resolution, then building automation and documentation that make the solution repeatable and scalable.
Most of my work centers around:
- Security-focused IT operations
- Endpoint hardening and remediation
- Microsoft 365 and Microsoft Graph automation
- Internal tooling and workflow improvement
- AI-assisted operational systems
- Technical documentation and training
Iβm especially interested in how artificial intelligence can improve technical troubleshooting, evidence review, operational workflows, and human decision-making in cybersecurity and IT environments.
- Endpoint security and remediation
- Microsoft 365 administration
- Microsoft Graph API integrations
- Security controls and hardening
- Infrastructure troubleshooting
- Technical documentation and SOP creation
- Service reviews and operational support
- Python
- PowerShell
- Java
- Bash scripting
- API integrations
- SQLite and lightweight data workflows
- Automation tooling and operational scripting
- Semantic segmentation workflows
- Explainable AI systems
- Operational AI tooling
- Evidence-linked analysis pipelines
- Model-assisted review systems
- Computer vision experimentation
- AI-assisted workflow automation
- Windows administration
- Endpoint management
- Intune / Autopilot
- Networking fundamentals
- Virtualization and lab environments
- Lightweight web application development
Implemented application allowlisting, endpoint controls, technical documentation, and training workflows for a real-world security deployment.
Built Microsoft Graph and Hudu-integrated automation workflows to reduce manual credential management and improve operational consistency.
Developed a local-first activity analysis and evidence-review system focused on AI-assisted troubleshooting, operator replay, and workflow analysis.
Trained and deployed a CBAM-enhanced U-Net segmentation workflow that transforms scene segmentation into explainable visual evidence and research outputs.
- AI-assisted IT operations
- Security-focused systems engineering
- Operational tooling and internal platforms
- Microsoft Graph and M365 automation
- Explainable AI workflows
- Endpoint security automation
- Applied machine learning for operational analysis
- Technical training and documentation systems
- MS Artificial Intelligence β Kent State University (In Progress)
- BTAS Cybersecurity β Kent State University
- AAB Software Engineering β Lakeland Community College
- Associate of Science β Lakeland Community College
- CompTIA Network+
- CompTIA Security+
- CompTIA CySA+
- CompTIA Security Analytics Professional (CSAP)
- Build AI-assisted operational and security platforms
- Create tooling that improves troubleshooting and technical workflows
- Bridge cybersecurity, AI, and systems engineering
- Contribute to technical education and training
- Develop practical AI systems that help people solve real operational problems
β¨ βSecure systems, scalable operations, and technology that helps people solve problems.β
