I graduated with an MS in Computer Science (Cybersecurity concentration) from Loyola University Chicago. Over the past two years I worked in IT support, security research, and as a teaching assistant at Loyola. Right now I'm interning at Mimber Academy doing platform security work.

The thing I'm most proud of: I co-authored a research paper on website fingerprinting under VPN tunneling that got accepted at SVCC 2026 (Silicon Valley Cybersecurity Conference). That project involved a lot of packet capture work, traffic analysis, and Python scripting to actually measure how well VPNs hold up against fingerprinting attacks.

• 🔭 Currently working as a Cybersecurity Intern at Mimber Academy, monitoring platforms, hardening systems, and writing security documentation
• 🎓 MS in Computer Science (Cybersecurity) from Loyola University Chicago
• 📄 Published research: "Evaluating Website Fingerprinting Resistance Under VPN Tunneling" at SVCC 2026
• 🛠 I spend most of my time in Python, Wireshark, Snort, and Linux, sometimes all at once
• 📬 Reach me at ameenfarooqui01@gmail.com

Python

Bash

PowerShell

Linux

Kali

Wireshark

Snort

Metasploit

Splunk

Docker

Git

TypeScript

JavaScript

React

Vite

Tailwind

Supabase

OpenCV

Security Research

• Designed and ran experiments on encrypted traffic behavior under VPN tunneling, published at SVCC 2026
• Built Python tooling to automate packet feature extraction and data collection for the research

Home Labs

• Windows Server Active Directory lab: set up a full domain controller, OUs, Group Policy, user provisioning
• Snort IDS lab: wrote custom detection rules for port scans, brute-force, and anomalous traffic, validated with Security Onion
• Windows host forensics: used EnCase and FTK Imager to reconstruct an attack timeline from event logs and registry artifacts

Other Projects

• Blockchain-based certificate verification system using Python, JavaScript, and OpenCerts API
• Vulnerability exploitation work: buffer overflows and return-to-libc attacks, documented with mitigations
• Object detection pipeline using YOLO and OpenCV