Technical Work
outside
Research.
A collection of selected projects, spanning teaching tools to applied ML systems. These projects revolve around building interpretable, interactive software around technical ideas.
American Sign Language Recognizer
Real-time ASL recognition system using MediaPipe hand landmarks, TensorFlow, and OpenCV for webcam-based gesture classification and live inference.
Built a custom 2,000+ sample dataset, trained a multi-class hand-sign classifier, and added confidence thresholding, temporal stabilization, interactive visualization, and text-to-speech output.
Algorithm Learning Platform
Interactive educational platform built in Elm to visualize 20+ algorithms and data structures, including sorting algorithms, graph traversal, heaps, trees, and foundational computational processes.
Adopted by UTA Computer Science faculty as supplemental instructional material, supporting classroom lectures and self-paced student learning.
OPEN_ALGORITHM_PLATFORMQueens Logic Game
Full-stack puzzle system centered on constraint satisfaction, board generation, and API-backed game logic.
Built a flood-fill puzzle generator designed to produce valid boards with unique solutions, emphasizing search constraints, state validation, and interactive play.
OPEN_QUEENS_ENGINE