Lead Machine Learning Engineer - Moonsift

🔹 Leading the development of Moonsift Copilot, an advanced shopping assistant with deep semantic understanding in fashion and retail.

🔹 Integrated our fine-tuned multi-modal deep learning model with a vector database, facilitating tractable semantic search.

🔹 Optimised storage and retrieval algorithms for 10M+ product embeddings, improving speed and reliability.

🔹 Leveraged Large Language Models (LLMs) to dynamically restructure user queries, ensuring adaptability to user context.

Data Scientist - Arca Blanca

🔹 Researched a novel weight initialisation technique for the autoencoder deep learning architecture.

🔹 Collaborated with clients to craft targeted short-term data strategies, addressing core business needs.

🔹 Brokered a partnership between Arca Blanca and an industry contact, mitigating project delays and inefficiencies.

🔹 Served as a liaison between technical and non-technical stakeholders, ensuring clear project alignment and objectives.

Data Scientist - Arca Blanca

🔹 Performed exploratory data analysis for a FTSE 250 company in order to determine operational bottlenecks.

🔹 Optimised and designed machine learning models for an industry-leading client using technologies such as TensorFlow and Scikit-learn.

🔹 Learnt how to present and communicate technical ideas to audiences with non-technical backgrounds.

Retail Partnership Engineer - Moonsift

🔹 Integrated 500+ new retailers over 2 years into the Moonsift browser extension and app, leading to improved user engagement. This was accomplished using technologies such as React and Docker.

🔹 Corresponded with users about bug fixes and potential product improvements, leading to a more robust product.

The University of Edinburgh

B.Sc. (Hons) in Computer Science and Artificial Intelligence, First Class