Software Engineer
Undergrad @ University of Arkansas
Deep Learning Researcher for Quantum Materials Science & Computational Neuroscience
Fayetteville, AR, USA

Fayetteville, AR

Researching under the mentorship of Dr. Khoa Luu as part of the Computer Vision and Image Understanding Lab. Co-authored a physics-informed domain adaptation network (NeurIPS 2025 submission) for aligning synthetic and real 2D material images. Created a synthetic dataset of 600K microscopy images across eight materials and 40 layer types. Improved thickness estimation error by 9.1 nm and detection precision by 30%. Achieved state-of-the-art flake layer classification accuracy of 93.9%.

Streamlit app automating grocery shopping by converting text recipes or meal images into prefilled Walmart carts. Leveraged ViT, Spoonacular API, and OpenAI GPT for precise ingredient extraction with average processing time ≤ 8 seconds.

Pipeline reconstructing images from predicted fMRI signals using Vision Transformers and Variational Autoencoders. Trained on COCO dataset, achieving 33% improvement in reconstruction accuracy.

Engineered spatio-temporal features from 800K+ SFPD crime reports to classify incidents across 39 categories. Trained a CatBoost model with stratified 5-fold validation achieving weighted F1 score of 0.2505, ranking top 7% on Kaggle leaderboard.

Laser tag software emulating the original Photon Laser Tag system, interfacing directly with original hardware.

Text generator using TensorFlow LSTM model trained on Shakespearean data with RMSprop optimizer and temperature-based sampling for controlled randomness.