I'm a Computer Science (Cybersecurity) student at Arizona State University building practical security skills through hands-on labs, endpoint-security work, technical experimentation, and independent projects.
My current focus is cybersecurity — especially security engineering, offensive security, system security, and detection. I also have a background building AI-assisted systems and multi-agent workflows, which I’m increasingly interested in applying to security problems.
I’m developing hands-on experience across web security, operating systems, networking fundamentals, and endpoint security.
Current work and training includes:
- Authorized web-security labs using Nmap, Gobuster, curl, Linux CLI, and HTTP tooling
- Service and port enumeration, endpoint discovery, HTTP headers, cookies, and sessions
- Authentication and authorization testing, including access-control / IDOR concepts
- API discovery and file-upload validation testing in controlled environments
- Windows 11 endpoint-security assessment and hardening, including antivirus posture, firewall configuration and logging, BitLocker, TPM, Secure Boot, Windows Update, startup applications, and remediation planning
- PowerShell-based system inspection and technical documentation
- TryHackMe Jr Penetration Tester learning path — in progress
- Member of the Hacking Club at ASU, building toward more CTF and collaborative security experience
I try to treat labs like real engineering work: understand the system, collect evidence, document what happened, identify why it matters, and verify changes instead of simply running tools.
A documented Windows 11 security project focused on establishing a before-state baseline, identifying security gaps, prioritizing remediation, and verifying improvements.
Areas assessed include antivirus configuration, firewall logging, drive encryption, TPM and Secure Boot, Windows updates, local/system posture, and startup applications. I’m developing the work into a repeatable assessment → remediation → verification lab suitable for a public portfolio.
Repository coming as the project is formalized and sanitized for public release.
This originally started as an AI-assisted animation/production experiment, but the part I find most technically interesting is the agent orchestration and decision system behind it.
The project includes a human-gated multi-stage workflow, persistent creative memory, structured model outputs, validation and recovery behavior, and an experimental multi-agent development engine where multiple ideation agents generate competing candidates that move through deterministic gates, specialist reviews, producer synthesis, bounded revision, and final human approval.
That work pushed me to think about problems that also matter in security engineering: trust boundaries, validation, failure handling, persistent state, controlled autonomy, human approval, deterministic stop conditions, and verifying AI-generated output rather than blindly accepting it.
An earlier AI-assisted automation prototype for inbound lead follow-up. It included workflow design, a website and legal pages, a lead-tracking schema, and automation planning. The business concept was discontinued, but I keep the repository as a record of earlier systems and automation work.
Guarded AI SOC / Detection Lab — planned project exploring SIEM telemetry, attack simulation, detection engineering, and guarded AI-assisted security analysis. Planned — not started.
Security
Nmap · Gobuster · curl · HTTP/session analysis · web enumeration · access-control testing · endpoint-security assessment
Systems
Windows 11 · Linux CLI · PowerShell · networking fundamentals · system troubleshooting
Development & Tools
Git · GitHub · technical documentation · structured testing · React/JavaScript exposure
AI-Assisted Engineering
Claude · Claude Code · Codex · ChatGPT · prompt/system design · agent workflows · human-in-the-loop controls · output validation
- Security engineering and system hardening
- Offensive security / red-team fundamentals
- Networking and operating-system security
- Detection engineering and security operations
- CTFs and hands-on security labs
- Secure and responsible use of AI in technical and security workflows
Arizona State University
B.S. Computer Science — Cybersecurity
Hacking Club at ASU
Member — developing practical security skills through community learning and future CTF participation
Before cybersecurity became my primary focus, I spent significant time experimenting with AI-assisted systems, workflow orchestration, persistent memory, agent coordination, human approval gates, and failure handling.
I see that background as a useful complement to security rather than a separate identity. I’m especially interested in how AI-enabled systems can be validated, constrained, monitored, and safely incorporated into security workflows.
Early in my cybersecurity career, but actively building, testing, documenting, and learning.