• Building prototypes of ML-based products for prospective clients• Participate in Technical Sales meetings to secure new clients• Building a team to undertake larger projects

• Optimised warehousing software using Genetic Algorithms for box-packing.• Built a ripe fruit detection system using Deep Learning models.• Led team of 3 developers.

• Planned and delivered weekly tutorials and labs for first-year computer science module.• Was nominated for Student Tutor of the Year 2021/22.

• Improved accuracy by 10% compared to state-of-the-art on a standard fake news detection dataset.• Built a semi-supervised classification pipeline using a novel clustering approach.• Used adapter-based finetuning to train LLMs for fake news detection.

• Improved efficiency of LLM pipeline by 2x without significant accuracy loss.• Productionized and deployed a load-capped ML pipeline.• Wrote data-processing scripts to integrate language models with company systems.