Systems • Security • AI
I build things to understand how they work. Through infrastructure labs, security research, and intelligent systems, I explore how complex technologies are built, secured, and understood.
Record 001
Production-style Apache web infrastructure lab focused on deployment, hardening, HTTPS, monitoring, dynamic content, backup & recovery, and defensive security operations.
Record 002
Explainable malware detection using Random Forests, SHAP, and LIME with a human-centered trust evaluation study.
I'm Rachel, a Computer Information Systems student focused on cybersecurity, systems engineering, and applied AI.
I learn through building, analyzing, securing, and documenting systems.
My work explores how complex technologies operate — from hardened infrastructure and defensive security to machine learning systems and their behavior.
A complete record of projects, experiments, and technical studies.
Record 001
Production-style Apache web infrastructure lab focused on deployment, hardening, HTTPS, monitoring, dynamic content, backup & recovery, and defensive security operations.
Record 002
Explainable malware detection using Random Forests, SHAP, and LIME with a human-centered trust evaluation study.
Record 003
Hands-on cybersecurity labs, Linux exploration, binary analysis, and CTF writeups.
Record 004
This is a simple implementation of the classic Snake game using Java. The objective of the game is to control the snake and eat as much food as possible while avoiding collision with the snake's own body or the game's boundaries.
Record 005
The Java Sudoku Game is a fun and interactive Sudoku puzzle solver and player built using Java's Swing framework. It allows users to choose from preset boards, solve puzzles manually, or use an automatic solver.
Open to discussions around cybersecurity, systems engineering, infrastructure, and intelligent technologies.