Capstone project turned contract role — a full-stack app indexing 7,000+ articles with advanced search and secure admin tools.
Built from scratch, showcasing lighting, terrain, animation, and camera controls — culmination of semester-long learning.
Year-long software engineering capstone project developed in a 6-person team, following the complete software development lifecycle.
Sorts a massive player list efficiently using a custom hybrid algorithm that is faster than the standard library sort.
TCP client/server system implementing a simplified FTP protocol with robust validation and error handling.
exit, cd, rls, get, put, show and more.A\n / E\n).
Android mobile app used to measure the level or angle of any flat surface.
ResNet‑18 enables autonomous driving on a custom track.
Dijkstra pathfinding with reactive enemy targeting.
Bernoulli NB on binary zoological features.
Pipelines + model comparison (trees & boosting).
KMeans with PCA visualizations.
NB over weapon stats.
Gradient boosting on complex fight data.
Switchable BBST for moderation lookups.
Originally built as a 4-person capstone project, I worked primarily on the backend database and Lucene search engine. After graduation, the sponsor hired me as a contractor to finish and maintain the application.
I migrated the system to AWS, set up NGINX reverse proxy, SSL certificates, and domain configuration, and implemented a Dockerized Keycloak identity management system. I also built a secure admin dashboard with single sign-on, enabling authenticated updates to the article corpus.
The app powers advanced search and indexing across a 7,000+ article corpus, using Apache Lucene with custom analyzers and Hibernate for persistence, connected via a clean API boundary between the Quasar frontend and Spring Boot backend.
Tech Stack: Quasar, Java Spring Boot, Apache Lucene, Hibernate, AWS, NGINX, Docker, Keycloak
https://tcbib.org/ https://wac.colostate.edu/tcbib/
This engine is the culmination of a semester-long computer graphics course. Starting with basic triangle rendering, I progressively implemented meshes, depth with frustum culling, matrix & vector math, textures, and the Gouraud lighting model. The final project combines these fundamentals into a complete interactive scene.
As an added challenge, I implemented procedural terrain generation using heightmaps and the diamond-square algorithm. The engine also includes a scenegraph hierarchy, point & directional lights, animation, and camera controls for exploring the scene.
Tech Stack: WebGL, JavaScript, GLSL
Live Demo GitHub
Image: https://cyberhoot.com/cybrary/file-transfer-protocol-ftp/
Final project in C implementing a basic file transfer protocol over TCP. Built both client and server programs adhering to strict request/response rules, parsing commands reliably, and handling errors gracefully.
Key Features:
exit, cd, rls, ls, get, put, show.A\n) or error (E\n).Tech Stack: C, POSIX Sockets, POSIX I/O
GitHub
Image: https://en.wikipedia.org/wiki/Quicksort#/media/File:Quicksort-diagram.svg
Project in a data structures & algorithms course. Designed a system to sort over 1 million player records across five skill XP fields and total XP. The challenge was to outperform the standard library sort while processing large input efficiently.
Key Features:
standard (qsort) or custom (hybrid count sort + Hoare-style quicksort).Tech Stack: Java, Count Sort, Hoare Quicksort, Algorithm Optimization
GitHub
A capstone software engineering project developed over one year in a 6-person team. The project followed the full software lifecycle: project scope, architecture and design, implementation, testing, documentation, and postmortem.
This project began as an experiment to measure distances with ARCore/Sceneform, but after overcoming challenges with deprecated APIs, GPS inaccuracy, and noisy accelerometer distance tracking, it evolved into a practical leveling tool.
Bernoulli Naive Bayes on binary species features.
Tech: Python, pandas
GitHub
Pipelines + model comparison (Linear, Tree, RF, GBM) with RMSE & R² evaluation.
Tech: Python, pandas, scikit‑learn, matplotlib
GitHub
KMeans clustering with PCA visualization; elbow + silhouette for k.
Tech: Python, pandas, scikit‑learn, matplotlib, plotly
GitHub
Naive Bayes classifier over weapon features like damage and range.
Tech: Python, scikit‑learn, pandas, matplotlib
GitHub
Gradient Boosting model on simulated battle outcomes.
Tech: Python, scikit‑learn, pandas, matplotlib
GitHub
ResNet‑18 trained to follow roads and interpret turn signs.
Tech: Python, PyTorch, Jupyter, Google Colab, JetBot platform
Two‑phase gameplay with Dijkstra pathfinding and reactive enemy targeting.
Tech: Java, Gradle
GitHub
Switchable balanced BSTs for fast moderation lookups.
Tech: Java
GitHub