Software Engineer | Computer Science Student
I'm a Computer Science student at Texas State University with a deep passion for Machine Learning and Artificial Intelligence. Currently pursuing my degree while working on cutting-edge projects that solve real-world problems.
My journey in AI began with me becoming fascinated by how and why machines learn and make decisions. Since then, I've developed a strong foundation in object-oriented programming, professional software development practices, and AI-agentic frameworks.
When I'm not learning new technologies or optimizing systems, you'll find me hiking, traveling, or playing soccer.
I'm driven by the challenge of identifying real-world problems and engineering scalable solutions that make a meaningful impact. As a self-motivated and detail-oriented developer, I believe that exceptional products are born from the synergy of strong teamwork, clear communication, and an unwavering commitment to quality. Should I come in contact with a problem I don't know how to solve, I have the resourcefulness and grit to break it down into manageable pieces, research and learn the necessary skills, and execute an intelligent solution.
Exploring advanced machine learning algorithms including LSTM and Linear/Logistic Regression for autonomous systems.
Improving my skills with git for optimal version control and collaboration in software development projects.
Furthering my expertise in security operations, threat intelligence, and defensive strategies while exploring zero-trust architecture principles.
Some of my recent work
Automates the daily monitoring of 50+ procurement websites to identify relevant airport and infrastructure project bid opportunities.
Isolated VM sandbox network, with enforced access-control policies and validated with Nmap/Wireshark, then performed controlled penetration tests from Kali.
An AI-driven hurricane forecasting model that uses NOAA HURDAT2 data and a Random Forest classifier to predict hurricane classifications in advance with ~95% accuracy for disaster preparedness.
LSTM-based time series forecasting model for stock price prediction with technical indicator analysis and real-time data pipeline.
Let's collaborate on something amazing
I'm always interested in working on innovative ML/AI projects. Whether you have a question, proposal, or just want to say hi, feel free to reach out!