@ UT Dallas, graduating in 2026, I’m a software developer building practical applications,exploring modern technologies, and creating useful tools that solve real-world problems.
I’m Mark Armstrong, a senior at The University of Texas at Dallas majoring in Computer Science. I love building impactful software, exploring new technologies, and solving real-world problems. I’m currently seeking software development opportunities where I can contribute to meaningful projects and grow my technical skills. Outside of coding, I enjoy fishing, cooking, and weightlifting — staying balanced fuels my creativity and problem-solving.
I have experience building full-stack web applications, machine learning models, and interactive games, working with technologies like Python, JavaScript, PHP, C#, and SQL. I enjoy solving both frontend and backend challenges, integrating APIs, optimizing performance, and creating smooth user experiences.
Companions Journeying Together
Resolved 10+ GitHub tickets by debugging PHP (CodeIgniter 4) logic and monitoring real-time logs via Sentry, reducing system-wide runtime errors and improving application uptime by 15%.
Optimized MySQL database interactions for complex data modules, achieving a 30% increase in query efficiency for high-volume records involving incarcerated persons and caregivers.
Modernized development workflows by upgrading the core environment to PHP 8.4 within Docker, ensuring container stability and enabling advanced language features for system-wide performance gains.
Enhanced data integrity by 25% through the implementation of SQL validation scripts, eliminating record duplication and ensuring accurate delivery of critical program metadata.
Refactored full-stack components using HTML, CSS, and JavaScript to fix UI regressions and noticeably decrease page load times within AWS-hosted environments.
Book Management
A full-stack library management website that lets users add, edit, and organize books with ease. Fetches metadata from Google Books using ISBNs, avoids duplicates with fuzzy matching, and stays fast, responsive across devices.
Restaurant Finder
A restaurant discovery website that helps users easily find places they'll love, with real-time filtering for personalized results, intuitive browsing, and a smooth, responsive experience across all devices for quick and effortless exploration.
Molecular Prediction
A machine learning system for predicting aqueous solubility (logS) based on molecular properties. Evaluates and compares Linear Regression and Random Forest models using a structured Python pipeline and performance visualizations.
3D Obstacle Game
A fast-paced rolling game where speed and visibility are constantly working against you. Sunlight cuts across the path, temporarily blinding the way ahead, forcing players to read the light, dodge obstacles, and keep momentum to reach the finish without crashing.
Microsoft Certification
Microsoft Certification
Microsoft Certification
Got ideas? Drop me a message - I reply faster than an API call.