🗺️ IPAM (DDI) PoC – replacing spreadsheet-based IP tracking
Windows Server 2022
AD DS
DNS
DHCP
IPAM / DDI
RBAC
Audit & Reporting
The goal was to replace spreadsheet-based IP address tracking with centralized IP Address Management.
I built an isolated lab domain and evaluated DNS/DHCP integration in a DDI/IPAM solution.
Scope & approach
- Lab domain: Windows Server 2022 with AD DS, DNS, and DHCP.
- DDI/IPAM: Set up DNS/DHCP integration and validated data quality.
- RBAC: Role/permission model for Admin/Ops/ReadOnly.
- Audit/Reporting: Traceable changes and export capabilities (e.g., CSV/PDF).
Outcome
- Verified end-to-end DNS/DHCP integration in the lab environment.
- Better transparency: leases, records, history/changes, and reports instead of manual spreadsheets.
- Established groundwork for pilot/operations (backup/update/monitoring).
🏠 The Secure Home Cloud
Docker
Raspberry Pi 4
Cloudflare Tunnel
Linux Hardening
Building a globally reachable, but tightly secured, home infrastructure.
Avoiding open router ports by using modern zero-trust tunneling.
Architecture & Security
- Hardware: Raspberry Pi 4 Model B running 24/7.
- Ingress: Cloudflare Tunnel daemon (
cloudflared) routes traffic securely without exposing a public IP.
- Isolation: Services run in Docker containers with constrained privileges (
no-new-privileges).
Code Snippet (Docker Compose)
services:
filebrowser:
image: filebrowser/filebrowser:latest
container_name: portfolio-secure
security_opt:
- no-new-privileges:true
volumes:
- ./public_html:/srv
- ./filebrowser.db:/database/filebrowser.db
📡 Security Research & Hardware Lab
Flipper Zero
WiFi Pineapple
HackRF One
Pwnagotchi
Practice matters. In my lab I explore physical security and network analysis to understand attack vectors end-to-end.
Equipment & Use cases
- Flipper Zero: Sub-GHz analysis, RFID/NFC, hardware debugging.
- WiFi Pineapple: WLAN auditing, MITM simulations, rogue AP tests (lab/training).
- HackRF One + Portapack: SDR for spectrum analysis (1MHz to 6GHz).
- Pwnagotchi: Passive WPA handshake capture (authorized environments only).
🧠 AI Prompt Engineering & NLP
NLP Practitioner
LLM Prompting
Python
Automation
This connects to my psychology background. As an NLP practitioner, I work with the structure of language.
The human–AI interface
Prompt engineering is essentially “NLP for machines”. I design structured prompts that produce reliable, context-aware results.
- System prompts for specialized agents.
- Structured problem solving (steps, tests, validations).
- Automation of recurring coding tasks.