Portfolio • LinkedIn • [email protected]
Computer Science student at Missouri S&T (Spring 2026) specializing in Computer Vision, Machine Learning, and High-Performance Computing. Seeking Software Engineering and Data Science internship opportunities for Summer 2026.
- Languages: Python, Java, C/C++, SQL, JavaScript
- AI/ML Libraries: PyTorch, PyTorch Geometric, TensorFlow, Scikit-Learn, Pandas, OpenCV
- Databases & Data Tools: PostgreSQL, MS SQL Server, MongoDB, ChromaDB, Redis, Git LFS
- Tools & Cloud: Git, Docker, CI/CD, CUDA, AWS (EC2, S3), Azure, Slurm, HPC
- Developed a Graph Attention Network (GAT) to model and predict flight delay propagation, achieving a lower prediction error (MSE) than a strong XGBoost baseline by fusing flight telemetry with hourly weather data.
- Engineered an end-to-end system for cognitive load analysis by building a low-latency multi-modal data acquisition platform to synchronize high-frequency EEG/PPG sensor streams.

