A collection of projects showcasing my expertise in software engineering, algorithms, and system design. Each project represents a unique challenge and demonstrates practical application of computer science principles.
A 2D flocking simulation built in C++ and SDL3. Implemented a Quadtree for O(n log n) spatial partitioning to optimize neighbor detection, significantly improving scalability and performance for a large number of agents.
Full-stack web application built to manage a fleet of 19 aircraft, digitizing operational status and workflows. Utilizes Google Cloud Firestore for real-time data synchronization, increasing operational efficiency for 10+ staff members.
Designed a decoder in Python to reconstruct ASCII messages transmitted over a noisy channel. Applies principles of linear algebra and syndrome decoding to detect and correct bit flips using generator and parity-check matrices.
A collaborative project with the Big Data Analytics Association to build an LLM-based predictive model for stock market data. Involves designing an end-to-end AI pipeline from data ingestion and feature engineering to model inference.