Generative AI Software Engineer at Booth Welsh Automation Ltd

Developing and optimizing AI-driven solutions for automation of engineering and control processes. Designed and refined prompts to optimize multi-agent AI systems. Developed AI agents for extracting data from piping and instrumentation diagrams (P&IDs), automatically generating key engineering deliverables such as instrument and valve lists. Built AI agents for document processing (PDF parsing, OCR, text extraction) and SQL agents to communicate with multiple company databases. Created AI-powered agents using Co-pilot Studio, M365 Copilot, and Power Automate workflows; built Agentic AI agents and automated workflows with n8n and Flowise. Implemented Agentic Retrieval Augmented Generation (RAG) systems with reranking and agentic chunking. Integrated AI features into enterprise solutions (Microsoft 365, SharePoint), including prompt-driven copilots and intelligent assistants. Worked with vector databases (Supabase, Pinecone, Quadrant). Built AI assistant automation integrating emails, ca

Post Doctoral Research Fellow in Artificial Intelligence at University of the West of Scotland

Led research in medical image analysis using advanced machine learning techniques. Collaborated with researchers to develop and implement computer vision and natural language processing experiments (image classification, object detection, segmentation, localization, LLMs, VLMs). Wrote research papers for publishing in journals and presented findings at international conferences. Taught 'Data Mining and Visualization' MSc and 'Artificial Intelligence and Applications' MSc courses. Mentored graduate students, guiding them in their research projects.