Python · TensorFlow/Keras
Brain MRI tumour ensemble
Combining convolutional networks to explore MRI tumour classification, calibration and model attention.
Read the case studyAI ENGINEERING · RESEARCH · HEALTHCARE
I build practical AI systems and explore how they can support people, research and healthcare.
Completing my MSc in Artificial Intelligence, applying for research and engineering roles, and building SanitasLink.
Python · TensorFlow/Keras
Combining convolutional networks to explore MRI tumour classification, calibration and model attention.
Read the case studyPython · scikit-learn
An ensemble pipeline exploring chest X-ray classification, model comparison and evaluation.
Read the case studyFounder of SanitasLink, an early-stage initiative exploring AI-supported proactive health management.
I'm a First-Class Computer Science graduate and current MSc Artificial Intelligence student at Manchester Metropolitan University, with a focus on AI engineering, practical systems design, and applied machine learning. My work centres on building reliable tools that translate technical capability into meaningful real-world use, particularly within healthcare.
Alongside my degree, I have completed 1,231+ hours of structured co-curricular development through Man Met RISE. These activities span AI challenges, cross-university collaborations, technical workshops, public speaking, and innovation programmes. This breadth reflects my commitment to continuous development and applied problem-solving.
I contributed to an ongoing AI research initiative as part of the AI Language Data Collection team, where I supported dataset creation, annotation work, guideline refinement, and peer review. This experience gave me insight into how high-quality data underpins reliable AI systems.

Student leadership has also been part of my university experience. My student leadership includes serving as a Student Representative for my MSc cohort, and previously as the Honours Representative for the 2024–2025 academic year. In addition, I founded the GenAI Society at MMU, helping students explore generative AI tools, develop projects, and engage with emerging technologies in a collaborative environment.
Beyond academia, I am the Founder of SanitasLink, an early-stage initiative exploring AI-supported proactive health management. My work focuses on early prototypes for data integration, lab-report interpretation, and clinical-support tooling that can evolve into practical solutions for individuals and families.
Outside of engineering, I enjoy time with my family and documenting life on our orchard during seasonal celebrations.
AI Language Data Collection Assistant
GenAI Society Founder
SanitasLink Founder