I specialise in AI systems and machine learning, from surgical robotics research to large language model evaluation. Currently building intelligent solutions that bridge academic research and real-world applications.
I am an experienced Data Scientist and Machine Learning Engineer with a strong foundation in AI. Throughout my journey, I have had the privilege of contributing to cutting-edge research in surgical robotics, where I helped develop a 3D convolutional neural network to assess surgeon skill levels using video data from robotic surgical systems. My experience spans both academic research and industry applications. Currently, I work on evaluating and improving large language model performance, applying rigorous statistical analysis to identify patterns in AI system behavior. This combination of research depth and practical implementation allows me to tackle complex problems from multiple angles.
Python, HTML, CSS, JavaScript, React Js, Next Js, SQL
B.Sci Applied Science M.Sc Data Science
Applying interest and continuous learning through the development of personal projects
A look through some of my most recent projects.
I spend most of my time working across these areas.
I build intelligent systems using deep learning, computer vision, and large language models. Projects include a 3D-CNN surgical skill classifier and fine-tuning LLMs.
I apply statistics and machine learning to uncover insights and power real-world decisions.
I develop responsive, interactive web applications using Flask, Next.js, and Mapbox.
I specialise in designing multi-agent systems and autonomous behaviors.
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