Thomas Burke

Computer Science graduate from the University of Sheffield, focused on building secure systems, backend development, and applied machine learning.

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Personal Project

End-to-End Encrypted Messaging App

An end-to-end encrypted, real-time messaging web application. Messages are encrypted client-side using AES-256-GCM with RSA-4096 key exchange, ensuring that only intended recipients can read them. The app supports real-time messaging via WebSockets and persists message history in PostgreSQL.

ReactTailwind CSSExpressPostgreSQL+4

Undergraduate Dissertation Project

Pose-Based Person Identification

Compared feedforward and bidirectional GRU architectures for identifying individuals from body pose sequences using the PoseTrack21 dataset. Automated hyperparameter tuning with Optuna on NVIDIA H100 GPU nodes via the University of Sheffield HPC cluster. Augmented training sequences using a sliding window approach and evaluated models with top-1 accuracy, calibration metrics, and occlusion-based ablation tests.

PythonPyTorchNumPyPandas+4