I am a Cybersecurity grad student BS/MS at RIT, specializing in application/software security, red teaming, and penetration testing. I am also delving into malware development, reverse engineering, and bug bounty hunting.

• Description: Developing a Large Language Model (LLM)-based chatbot, ChatCSEC, as part of a group project. This chatbot aims to assist in computing security education and awareness.
• Role: Working collaboratively with a team of three to design, develop, and deploy the chatbot.

• Description: Participating in a group research project for the course Authentication and Security Models. The focus is on reviewing and analyzing vulnerabilities in current Tap-To-Pay systems.
• Objective: To understand and document potential security flaws in Tap-To-Pay technologies, contributing to a comprehensive group research paper.

• Overview: Developed a web application fuzzer equipped with a user-friendly graphical interface, utilizing the QT6 framework.
• Purpose: Designed to identify vulnerabilities in web applications through automated testing processes.

• Context: Created during a previous internship, this metadata analyzer was developed in Python.
• Functionality: Assisted in generating comprehensive metadata reports, enhancing the understanding and management of digital data.

• Project for: Graduate seminar class on Open Source Intelligence (OSINT).
• Details: Conducted a mock/unofficial OSINT investigation on Experian, resulting in a detailed report that highlighted potential security and privacy concerns.

• Blockchain Technologies: Exploring the underlying mechanisms of blockchain and its related vulnerabilities.
• Advanced Malware Forensics: Deepening knowledge in malware forensics to understand sophisticated malware behaviors and defense strategies.
• Cryptography Challenges and Labs: Currently working on the CryptoPals challenge, a series of practical cryptography problems designed to enhance understanding and application of cryptographic principles and techniques.