University of Cincinnati Student | Passionate about Encryption | Developer
Hello everyone! My name is Jack Merritt and I'm a cybersecurity and network administration student at the University of Cincinnati with a passion for secure systems, innovative technologies, and all things encryption.
My technical interests span across encryption systems, quantum-resistant algorithms, blockchain technology, and secure system development. All projects listed here are personal projects I pursue outside the classroom to hone my technical skills and because I like working on these projects!
On a nontechnical side, I love cooking, hiking, watching sports, playing Rugby, and working out! I also love helping others with their fitness journeys; I have lost over 75 pounds, and love to inspire others to be the healthiest version of themselves!
Bachelor of Science in Cybersecurity, Network/Systems Administration
Master of Science in Information Technology
Expected: May 2028 • GPA: 4.0
Developed a secure, real-time messaging app in Python using AES and RSA encryption for end-to-end privacy and secure key exchange.
Implemented Socket Programming for real-time communication with a user-friendly GUI to balance usability with robust security features.
Engineered a Python-based encryption tool incorporating quantum-resistant algorithms and the BB84 quantum key distribution protocol.
Validated performance using IonQ's Quantum hardware simulator, demonstrating proactive security measures against quantum computing threats.
Developed a cryptographic system implementing Shamir's Secret Sharing (SSS) and Distributed Key Generation (DKG) protocols in Python.
Used threshold cryptography to securely split and reconstruct sensitive data with visualization using matplotlib.
Created a secure, tamper-proof voting system using Ethereum blockchain, Solidity smart contracts, and MySQL for authentication.
Designed a user-friendly voting interface and tested using Ganache, Truffle, and MetaMask for cross-scenario verification.
Developed a multi-platform tool for analyzing Wi-Fi network security, identifying vulnerabilities, and providing remediation recommendations.
Implemented platform-specific scanning features for both Windows and Linux/Raspberry Pi systems with support for monitor mode.