Passionate about building ethical, interpretable AI to support healthcare and conservation.
I recently graduated with a 2:1 BSc (Hons) in Computer Science with Artificial Intelligence from Heriot-Watt University, and I'm now doing an MSc Advanced Computing with Artificial Intelligence at the University of Stirling. I'm passionate about using AI to support healthcare and environmental conservation, with a focus on ethical and interpretable machine learning.
My strengths lie in developing robust AI models for image classification, working with real-world datasets, and applying explainable AI techniques, such as Grad-CAM, to support transparency and trust. I enjoy combining technical depth with meaningful impact, whether it's analysing medical imaging data, building tools that support biodiversity monitoring, or applying statistical learning in interdisciplinary contexts.
I also have experience with deep learning frameworks like TensorFlow, cross-validation techniques, model evaluation, and developing end-to-end research pipelines in Python.
My long-term goal is to progress into a PhD after finishing my Masters. Right now, I'm open to part-time roles alongside my studies. I'm especially interested in roles related to ethical AI, research, or applied machine learning that align with my values and interests.
My final year dissertation. A deep learning pipeline using DenseNet121, ECSA and Self-Attention to classify protein aggregates associated with ALS (a neurodegenerative disease). Evaluated with Grad-CAM and XAI metrics for interpretability and cross-class analysis.
View Project →A deep learning classification system for identifying garden birds from camera footage. Built using EfficientNetB7 with transfer learning and TensorFlow, and trained on a dataset augmented with flipping, rotation, brightness and contrast adjustments. Deployed on a Raspberry Pi.
View Project →Created lessons aimed at Second-Year high school pupils about AI & Data Science. Successfully delivered the first lesson at Falkirk High School.
View Project →A responsive personal portfolio built using HTML, CSS, and JavaScript to showcase my background, projects, and skills. It features scroll animations, contact form integration, and a clean layout optimised for both desktop and mobile.
View Project →Feel free to reach out to me to ask about my projects, collaboration opportunities, job inquiries, or anything else!