Education
Graduate cybersecurity training and a computer science foundation, spanning AI threat research, cryptography, systems programming, and hardware engineering.
2026
Core Coursework
Focus Areas
Graduate-level study in cybersecurity theory and applied practice. Coursework covered AI and machine learning for cybersecurity, offensive and defensive operations with Kali Linux, operating system security, modern cryptographic systems, enterprise IAM frameworks, and security policy & compliance. Prepared for leadership roles in securing critical infrastructure and enterprise environments.
2024
Core Coursework
Interdisciplinary Foundation
Broad undergraduate foundation spanning computer science fundamentals, hardware circuit design, interactive software development, and human-computer interaction through UI/UX design. This multidisciplinary background directly informs a holistic approach to cybersecurity, understanding systems from the hardware layer through to the user interface.
Skills Matrix
Security
- Threat Modeling (STRIDE)
- Vulnerability Management
- Penetration Testing (Kali Linux)
- Incident Response
- OS Hardening (SELinux, SSH)
- Identity & Access Management
- Cryptography
- Log Analysis
AI / ML
- Local LLM Deployment (llama.cpp, GGUF)
- Multi-GPU Inference
- Agentic AI (Claude Code, Codex, Hermes, OpenClaw)
- MLX (Apple Silicon)
- Prompt Injection Defense
- API Integration & Prompt Engineering
Networking
- OSI Model (L1–L7), TCP/UDP, IPv4/IPv6
- Packet Analysis
- Software-Defined Networking (SDN)
- Dijkstra / Shortest-Path Routing
- WireGuard, Tailscale/Headscale Mesh VPN
- Self-Hosted DERP Relay
- Secure Tunneling (Hysteria 2, VLESS, REALITY)
Governance & Compliance
- ISO 27001
- SOC 2
- NIST CSF
- GDPR / PIPEDA
- Security Policy Development
Programming
- C / C++ / C#
- Python
- Static Analysis (Cppcheck)
- FPGA / VHDL
- VBA Macros
- Power BI
Interested in my background?
Let's talk about how my skills and education align with your team's needs.

