Disclaimer: I currently work using dedicated private infrastructure, using BitBucket as my git solution. This unfortunately means that my contributions are no longer being tracked on this page.
- Profession: Senior Consultant in Deloitte, member of the Engineering, AI and Data directorate within Defence, Security & Justice.
- Expertise: I have 7+ years leading work in statistics and data science, delivering complex and innovative ML solutions and AI-powered digital services across the Public and Defence sectors. I enjoy developing and applying AI technologies to help organisations achieve strategic benefit, with particular interest in: Generative AI, Computer Vision, AI ethics, building and managing multidisciplinary teams, and scaling & deploying AI products on the cloud.
- Commercially sensitive
- Custom RAG Applications: Innovating with Langchain, Huggingface, and OpenAI.
- LLM Infrastructure Exploration: Experimenting with AWS and GCP (Gemini, BQ ML, AWS Bedrock) to enhance our project capabilities.
- In-House NLP Pipeline Development and Maintenance:
- Created using SF Hamilton, our pipeline features an SK Learn-powered Random Forest spam classifier developed using PyCaret, a sentiment analysis ensemble using Huggingface models, and a within-topic topic modeling process using BERTopic and GSDMM.
- Deployed on GCP, our pipeline's resilience is ensured through Docker Containers, managed via Terraform for seamless integration and scalability.
- Practical application of Microsoft Azure services at the PwC/CDDO Generative Artificial Intelligence Government Hackathon, demonstrating the potential of AI in governmental applications.
- Explored innovative AI solutions at the Anthropic London Hackathon, toying with the context window of Claude 2 in an attempt to revolutionise NHS practices.