Skills
The tools and practices behind my IT work, followed by areas I am learning. Each entry explains how I have used it and links to available supporting work.
How skill levels are defined
- Demonstrated
- Supported by production experience or completed, verifiable work.
- Working
- Used with practical foundations, with room to deepen.
- Familiar
- Documented exposure, short of working proficiency.
- Learning
- Under active, structured study.
- Planned
- A future direction, not a current capability claim.
Skills by area
Open a skill for details and related work. Learning and planned labels identify areas still being developed.
Systems administration
IT supportDemonstratedCompTIA A+ and documented IT support experience.
Production endpoint support, ticketing, hardware and operating-system troubleshooting.
Systems administrationWorkingOperating-system support and completed Linux foundations coursework.
Windows and Linux administration foundations developed through support work and structured study.
Networking
NetworkingDemonstratedCompTIA Network+ and documented IT troubleshooting experience.
Networking foundations and troubleshooting developed through IT support, structured study, and credential work.
Programming and automation
PythonFamiliarEvidence entries are being organized; no unsupported proficiency claim.
Python is part of the current programming and automation toolkit.
Defensive security
Defensive securityLearningSecurity+ earned; CySA+ study in progress.
Detection, log analysis, alert triage, and incident-response foundations under active study.
Malware analysisPlannedNo current professional experience; explicitly a future study area.
Planned study area after stronger SOC and lab foundations.
Offensive security
Offensive securityLearningPenTest+ study in progress; no professional offensive-security claim.
Authorized testing concepts are being studied as part of PenTest+ preparation.
Reverse engineeringPlannedAspirational direction; no current experience claimed.
Long-term goal after malware-analysis and systems-internals foundations.
AI security
AI securityPlannedPlanned learning direction, not completed expertise.
Long-term direction covering secure AI applications, agent security, evaluation, and responsible adversarial testing.