Hi, My Name is
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Hi, I am a current student at Adams State University, studying Computer Science, graduating in December 2025.
I discovered my passion for coding during my junior year of high school when I took a basic HTML class. The ability to bring ideas to life through code instantly captivated me. Building an application is one thing, but making it scalable and reliable is what truly matters. I love creating applications and seeing them evolve into products supporting customer needs. But I don't stop there, I think about security too! We live in a world where technology is advancing rapidly, and with that comes security challenges. As a developer, I ask myself: How can I build applications that scale and protect the people using them? I want users to feel confident and secure while interacting with the products I create. Last but not least, I'm passionate about cloud, AI and the beauty of continuous research. During my free time, I love to play instruments like the piano, make music tracks and read books.
Currently, I am working on personal full-stack projects while juggling school and prepping for entry into the job market.
My most recent project, completed on: Loading... – Loading...
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Software Dev Engineer Intern
[May 2024 - Aug 2024]
Duration: May 2024 - Aug 2024
Role: Software Dev Engineer Intern
Description: Worked on large-scale backend systems, optimizing services for high-performance and scalability.
Desktop Technician
[Aug 2021 - Present]
Duration: Aug 2021 - Present
Role: Desktop Technician
Description: Built computer images using terminal commands, configured BIOS settings for secure boot, and deployed computers for faculty members while improving IT support efficiency.
Supplemental Instructor CS
[Aug 2024 - Present]
Duration: Aug 2024 - Present
Role: Supplemental Instructor CS
Description: Assisted CS students in understanding key programming concepts, supported professors in lectures, and guided students in software development practices.
Shift Supervisor
[May 2018 - Jan 2024]
Duration: May 2018 - Jan 2024
Role: Shift Supervisor
Description: Managed store operations, inventory, and customer service. Led my district in "Extra Care Plus" promotions and helped educate customers on healthcare products.
Showcasing research, coursework, and academic achievements that demonstrate analytical and technical capabilities
Developed a software tool utilizing parallel computing techniques to enhance data compression algorithm efficiency. Implemented parallelization strategies including multi-threading and distributed computing to optimize compression processes, resulting in faster and more scalable performance compared to traditional sequential methods.
Leveraged deep learning techniques to analyze network traffic data, developing neural network models capable of identifying patterns, anomalies, and potential security threats. Enhanced efficiency and accuracy of network traffic analysis, enabling proactive detection and mitigation of cybersecurity risks.
Implemented secure communication techniques to protect sensitive data during remote machine learning processes. Developed a system with AES encryption and HTTPS protocols, integrating network monitoring and filesystem integrity checks to ensure confidentiality, integrity, and security of transmitted data.
Comprehensive analysis and implementation of the Deflator compression algorithm with multiprocessing enhancements. Studied algorithm efficiency, memory usage, and performance optimizations through parallel processing techniques. Conducted detailed performance analysis comparing sequential vs parallel implementations.
Comprehensive survey of parallel data compression techniques and their applications in multiprocessing environments. Analyzed various compression algorithms, their parallel implementations, and performance characteristics. Reviewed current research trends and identified opportunities for future optimization.
In-depth analysis of artificial intelligence applications in network security, focusing on threat detection, anomaly identification, and automated response systems. Examined machine learning models for network traffic analysis and their effectiveness in real-world security scenarios.
Comprehensive analysis of security implications in serverless cloud computing environments. Examined FaaS (Function as a Service) security models, potential vulnerabilities, and best practices for secure serverless application development and deployment.
Compiled comprehensive research portfolio covering cybersecurity, parallel computing, AI applications, and cloud computing. Demonstrated consistent academic excellence through high-quality research papers, technical implementations, and innovative problem-solving approaches across multiple computer science domains.
Served as supplemental instructor and peer tutor for computer science courses, helping students understand complex programming concepts and software development practices. Developed teaching materials and led study sessions, enhancing both technical and communication skills while supporting student success.
Supporting students academically and professionally in STEM fields.
Community Leader
I organized youth groups and taught them how to grow in Christ and study the Bible. I also led a service project where we installed dog waste disposals in Cottonwood Park to encourage environmental responsibility.
*select to view the code/documentation*
*these are some of my impactful projects in my GitHub; there are more!*
Securing data transmission between a client and server during remote model training.
View ProjectAQI Notifier is a real-time air quality monitoring app that sends users alerts when air pollution levels exceed safe limits.
View ProjectAI-powered watchOS app for remembering names during networking.
View Project Download on App StoreMock interview tool using OpenAI + Azure to generate questions and evaluate your answers with real-time feedback.
View ProjectA full-stack database management system built for handling airport operations. The web portal (Flask + ODBC) allows managers to manage employees, airplanes, and test data, while the desktop app (Java + JDBC) enables technicians to securely log in and record airworthiness tests.
View ProjectAn AI-powered food app that helps users filter restaurants based on preferences, dietary restrictions, and cravings. Users can swipe to match with restaurants effortlessly.
View Project