Security Engineer | AI Engineer | Systems Architect

I build intelligent systems that turn manual, repetitive security and knowledge work into automated architecture. This profile is a working map of how I think, what I design, the problems I solve, and how each system is built — so you can use it, learn from it, or rebuild it.

Every system here follows the same discipline: deconstruct the problem to its underlying logic, design the architecture explicitly, then automate it. I don't ship black boxes. Each agent, framework, and tool is documented across five questions:

1. Design — the architecture map: how the system is shaped, as a visual model
2. Purpose — what it is, in one line
3. What it solves — the manual pain it eliminates
4. How to use it — inputs, invocation, example interaction
5. How to build it — the design rationale, so it can be rebuilt or adapted

If you open any agent or framework in these repositories, you will find it answered along those five axes.

Real-time threat intelligence, compliance automation, and vulnerability analysis — systems that surface signal instead of noise.

• Cyber Intelligence Command Center (CICC) — aggregates CISA KEV, NVD, EPSS, and RSS feeds, enriches and scores disclosures against a technology watchlist, and produces prioritized, actionable briefings
• Vendor-Specific Security SME Agents — a fleet of seven deep specialists (Splunk, Arctic Wolf, SentinelOne, Palo Alto, Darktrace, SecurityScorecard, Microsoft Purview), each authoritative in one platform
• Vulnerability Report Summarizer — turns raw scan output into executive-ready reports with CVSS scoring and MITRE ATT&CK mapping

Reusable frameworks and agent architectures that make automation scalable instead of one-off.

• Learning Agents Framework — turns any subject or certification into a structured study package (notes, first-principles breakdowns, quizzes, notecards, assessments), and spawns subject-specific study agents
• Agent Design Framework — a two-tier methodology (fast task agents vs. rigorous spec-driven agents) for designing new agents deliberately
• Universal Reasoning Framework — the first-principles analytical engine that powers concept deconstruction across the other frameworks
• Architecture Map Design System — the dark-theme, stakeholder-readable diagram language used across every system map in this portfolio

Study from my work: the study packages are organized, self-contained learning material for CompTIA Security+, CompTIA SecAI+, AWS AI Practitioner, and Agentic AI Engineering — the same output my learning agents generate, published for anyone to use.

• Expanding the CICC platform with additional enrichment sources and automated triage workflows
• Publishing more study packages generated by the Learning Agents Framework
• Documenting agent architectures for multi-vendor security stack orchestration
• Growing the certification study library as I progress toward SecAI+, AWS AI Practitioner, and beyond

_{This profile represents personal projects and independent work. Views and tools shared here are my own.}