I'm a machine learning researcher with a passion for turning cutting-edge AI into real-world solutions. My PhD research at Heriot-Watt University focused on sequence models for applications in Natural Language Processing (NLP) and time series forecasting, specifically within the UK energy sector. This background drives my data science approach, where I'm committed to developing impactful AI solutions across diverse industries. My experience spans energy, transportation, hydrology, and beyond, with a track record of peer-reviewed publications demonstrating my expertise.

Recognizing the importance of operationalising AI, I've embraced MLOps to ensure my solutions are both innovative and practical. Currently, I'm dedicated to revolutionizing business intelligence at Cycle Confident through a Knowledge Transfer Partnership (KTP) with the University of Surrey. My toolkit includes Python, machine learning, deep learning frameworks (TensorFlow/PyTorch), database management (SQL/NoSQL), and statistical modeling techniques. Whether I'm coding, building models, or collaborating with stakeholders, I'm driven by the endless potential of AI to make a difference.