Software Engineer | Computer Science Student
I'm a Computer Science student at Texas State University with a deep passion for backend development and building software that solves real-world problems. Currently pursuing my degree while working on projects that span full-stack development, from API design to data-driven backend systems.
My journey in software started with a fascination for how systems are architected end-to-end. Since then, I've developed a strong foundation in object-oriented programming, professional software development practices, and building scalable backend services.
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 cloud infrastructure design, including compute, storage, networking, containerization, and deployment pipelines for scalable, resilient applications.
Deepening my understanding of API design, database modeling, and scalable service architecture for full-stack applications.
Improving my skills with git for optimal version control and team collaboration in software development projects.
Some of my recent work
AI-powered web app that ingests PDFs and handwritten notes via OCR, generates vector embeddings for semantic search, and delivers personalized adaptive quizzes and AI tutoring.
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.
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!