I am a sophomore in the College of Computer Mathematical, and Natural Sciences as well as the Honors College at the University of Maryland, College Park pursuing an undergraduate degree. I am majoring in Computer Science, with an upper concentration in business. In my current role as an Undergraduate Research Assistant, I'm at the cutting edge of AI-driven biomedical research, with a particular emphasis on skin cancer diagnosis. My passion also extends to consumer software and mobile applications, where I aim to create solutions that positively impact communities. Recognized for my software development expertise in various hackathons and app challenges, I am deeply committed to leveraging my skills for practical, meaningful advancements in technology.
My favorite languages for systems programming, software engineering, and data analysis.
My preferred technologies for front-end web development and component design.
My preferred technologies for back-end web programming and database architecture.
My favorite tools for version control, code editing, and container orchestration.
Developed a Java-based project applying Breadth-First Search (BFS), Depth-First Search (DFS), and Dijkstra's algorithm for efficient graph processing and shortest path calculation. I used the following data structures and algorithms: HashMap, HashSet, Queue, Priority Queue, ArrayList, TreeMap, Stack.
Check it out!I wrote and published a book that's all about making computer science fun and approachable for middle schoolers. It's filled with easy-to-digest explanations, cool graphics, and interactive QR codes for hands-on Python practice (uploaded on Github). It's recognized in Washcounty Public Library's catalog, with over 100 copies sold and used by middle school computer science classrooms.
Check it out!
Designed/Developed utilizing Swift and SwiftUI to facilitate Spanish Speakers in
navigating government terms, liasing with local representatives, and
demystifying loan processes.
- 1st Place, Won $175 in cash/prizes.
Developed a C library for dynamic priority queue management, equipped with numerous functions for complex queue manipulation, enabling optimized memory management and precise element prioritization with robust leak prevention. The data structure I used was a Priority Queue, implemented as a Linked List. In addition, I utilized Vanguard to make sure there were no memory leaks and created a Makefile to run tests
Check it out!
Designed/Developed utilizing MIT App Inventor, MongoDB, and Firebase. Created this app to enhance
pedestrian safety by highlighting dangerous streets based on user-reported data.
- Best Prototype & Wolfram Award, Won $1000 in cash/prizes