About
While pursuing my bachelor's in Computer Science at The University of Texas at El Paso, I’ve contributed to open-source projects like GP2040-CE and delved into ethical hacking through initiatives like Dunkin’s Summer Instant Win game. I thrive on blending diverse programming skills with cutting-edge security practices to build robust, efficient applications.
Work Experience
Skills
Languages
FE
Backend
Full Stack
DataBase
scraping
Security
Check out my latest work
I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.
Intelligent Network Findings with In-Depth Learning for Targeted Reconnaissance (INFILTR8) is a cybersecurity tool designed to expedite penetration testing. It ingests reconnaissance files, applies a machine learning algorithm to analyze vulnerabilities, and generates a prioritized list of exploitable entry points for DAC analysts.
An automated account creation system for Uber Eats featuring browser fingerprinting, proxy management, and email verification handling. Built with Python and asyncio for high-performance multithreaded operation.
Designed the "Open Stick," a 3D printable, full-sized, and modular leverless arcade stick controller. The design, created in Fusion360, is optimized to fit most 3D printers and allows for easy modification of STLs. This ongoing project provides functional files (STLs and STEP included) for enthusiasts to print (e.g., with PLA) and assemble their own leverless arcade stick.
Intelligent Network Findings with In-Depth Learning for Targeted Reconnaissance (INFILTR8) is a cybersecurity tool designed to expedite penetration testing. It ingests reconnaissance files, applies a machine learning algorithm to analyze vulnerabilities, and generates a prioritized list of exploitable entry points for DAC analysts.
- F
First Place (Terminator: Capture The Flag/Hackathon)
The University of Texas at El Paso
This event was for only for students pursuing Secure Cyber Systems concentrations enrolled in Software Reverse Engineering. This was a dual-listed course of about ~100 students for both grad & undergrad students. [CS 4379/CS 5375]
