Founding AI Research Scientist

NexusAM

Founding AI Research Scientist at NexusAM

• Lead applied AI research for additive manufacturing, focusing on defect detection and process understanding.
• Develop and evaluate computer vision, multimodal, and representation-learning methods across heterogeneous manufacturing data.
• Design experiments and ablation studies to assess model behaviour, generalisation, and robustness.

Founding AI Engineer

NexusAM

Founding AI Engineer at NexusAM

• Designed and developed AI systems for industrial additive manufacturing applications.
• Built scalable PyTorch training and inference pipelines for large-scale manufacturing datasets.
• Developed end-to-end machine learning workflows spanning data processing, model training, evaluation, and production inference.

AI Trainer / LLM Evaluator

Outlier

• Evaluated and ranked Large Language Model outputs based on correctness, relevance, reasoning quality, and instruction following.
• Provided structured feedback on model errors and failure cases to support LLM evaluation and improvement.

Research Scientist Intern

Meta AI

• Conducted research on Vision-Language Models using large-scale multimodal datasets.
• Trained and evaluated VLMs across large-scale vision-language benchmarks.
• Collaborated with researchers on model development, benchmarking, and evaluation.

Teaching Assistant

University of Bristol

• Teaching Assistant for the Applied Deep Learning unit.
• Supported students with Python, PyTorch, and deep learning models.

Python/Machine Learning Tutor

Skienda

Tutor of a six-student class during a regional course for future Data Scientists set up by Skienda.

• Taught Python and introductory Machine Learning to a six-student class.
• Prepared and supervised practical projects for aspiring Data Scientists.