Benjamin Rutt AI, ML & Cyber Security Get In Touch

Applied Intelligence

Cyber security student with a stronger pull toward machine learning, deep learning, and intelligent systems.

I am completing a Bachelor of Cyber Security while building a portfolio around AI, automation, and practical technical problem-solving. I am especially interested in how intelligent systems can be applied to real-world technical and security challenges.

View Projects About Me

Bachelor of Cyber Security student

Interested in ML, deep learning, and automation

Selected Work

Software builds, investigation work, and security analysis backed by real project artifacts.

Featured Software Case Study

Food Database App using WxFormBuilder and Python

A collaborative Griffith University software technologies project focused on building an easy-to-use desktop application for reading, filtering, and exploring a food database CSV. I contributed core Python pages, GUI work, run.py updates, and the calorie calculator feature.

  • Python
  • wxFormBuilder
  • Desktop UI
  • Food Calorie Calculator
See case study

Recovered Artifacts

GUI screens, planning notes, and calculator flow

  • Desktop interface layouts
  • Project plan excerpts
  • Calorie calculator summary

Featured Security Analysis

Network Analysis with Splunk

A Splunk-based traffic analysis case study built around the Hungry Hustle environment. The report focuses on identifying suspicious behaviour, tracing an unauthorized SSH key transmission, and documenting the response.

  • Splunk
  • Traffic analysis
  • Incident flow
  • Remediation
See case study

Recovered Incident Flow

Hungry Hustle SSH key transmission investigation

  • Machine identification
  • Suspicious activity filtering
  • Remediation steps

Supporting Investigation Work

Digital Forensics Analysis Case Study

VM-based evidence analysis across desktop, phone, laptop, and network PCAP artifacts, structured around a multi-source investigation scenario.

Open forensic case study

Focus Areas

What I want this portfolio to stand for.

Machine Learning / Deep Learning

I am increasingly drawn to machine learning, deep learning, and the broader challenge of building useful intelligent systems.

Cyber Security Foundations

My degree gives me a strong technical base in security, systems, and disciplined problem-solving, which still shapes how I think.

Automation / Applied Problem Solving

I enjoy using structured thinking, experimentation, and technical tools to make systems clearer, leaner, and more effective.