ML & AI
scikit-learnPyTorchTensorFlowBERTNLPComputer Vision
ML Engineer & AI Researcher — NLP, speech processing, healthcare AI. MSc Artificial Intelligence, University of Essex. Built an end-to-end pipeline detecting Alzheimer's disease from speech at 82% accuracy (dissertation graded 78%, supervisor: "above MSc level"). Full right to work in the UK · Manchester / Preston / remote.
Complete, reproducible research pipeline: acoustic (MFCC) + linguistic features, classical ML vs deep learning, evaluated on precision, recall and F1. 82% accuracy · graded 78%.
Lightweight multi-object detection and tracking for edge devices — YOLOv5 + SORT, tuned for minimal latency.
Logistic Regression and BERT classifiers compared head-to-head across multiple datasets with precision, recall and F1.
My dissertation on Alzheimer's detection from spontaneous speech was described by my supervisor as showing methodological maturity above what is typically expected at MSc level. Before the Masters I spent nearly three years as a Business and Data Analyst, delivering KPI reports and data pipelines in production — I turn data into decisions, not just notebooks.
I have full right to work in the UK and I'm actively looking for junior or graduate ML, NLP or data-science roles — remote, hybrid, or in person near Manchester or Preston.