Responsible for the development and execution of all Machine Learning and AI initiatives at Digital Planning Ltd.Currently specialising in Graph Attention Networks, Non-Linear Programming, and Combinatorial Optimisation, to automate decision-making processes, optimise workflows, and deliver scalable AI solutions for businesses.Strong interest in GraphRAG (Retrieval Augmented Generation), Agentic AI and Quantum Annealing.Contact me directly for consultancy enquires.Learn more about what we do at https://www.digitalplanning.tech/

AI R&D Work Package Technical Lead.Progressed technology from readiness levels (TRL) 1-5 as a technical liaison for UK-based and International Extra Mural Research (EMR) contracts.Delivered technical briefs and presentations to internal and external stakeholders, C-Suite, Partners Across Government (PAG) and members of the user community.Conceived and led research into an IP-registered AI technique utilising Reinforcement Learning (RL).Delivered tools for Computer Vision (CV) detection and tracking leveraging AI models from recently published conference/journal papers. Provided support for cross-divisional, applied data science projects.Defence and Security Accelerator (DASA) assessor and moderator, providing technical feedback on contract proposals.Mentored and trained junior staff members.Exposure to Cloud Engineering (AWS & GCP), Front End Development (Typescript and React) and Graph Database Design (Neo4J).UK Security Clearance (SC) held throughout.Primary Technical Languages/Frameworks:Python, PyTorch, TensorFlow, MATLAB, Pandas, ScKit-Learn, Jupyter, Git.

12 week engineering research summer placements in ‘18, ‘19 & ‘20 undertaken as part of sponsorship by Dstl through the Defence Technical Undergraduate Scheme (DTUS).Experience and skills developed in:- RF signal processing- Embedded electronics- Unmanned Autonomous Vehicles (UAVs)- Artificial Intelligence (AI) including Machine and Deep Learning- Delivery of technical reports