I am a results-driven professional with over 20 years' experience in developing innovative, data‐driven solutions. My expertise spans artificial intelligence, natural language processing, and legal technology. I excel in transforming complex challenges into clear, actionable strategies that deliver commercial success.
I thrive on continuous learning and excellence, working within highly regulated sectors to deliver scalable, secure, and production‐ready applications. My passion for technology is matched only by my commitment to client outcomes and operational efficiency.
Core Skills
AI & Machine Learning
Expert in AI/ML frameworks, natural language processing, and building production‐ready models using Python, LLM's and AI agents.
Data Engineering & Analytics
Proficient in designing scalable data pipelines and cloud architectures with Databricks, PySpark, Azure and AWS.
NLP & LegalTech
Specialist in developing NLP-first solutions for legal research, contract analysis, and document cross‐referencing tailored to UK legislation.
Programme & Project Management
Skilled in a range of project management methodologies, stakeholder engagement, and leading cross-functional teams in highly regulated industries.
Professional Experience
C
Senior Data Engineer
2021 | Edinburgh
Introduced, led and delivered the 1ST large scale webchat analysis within British Gas business across divisions, channels and departments. Linked vulnerability language, agent regulatory compliance, sentiment, time, response, 3 level topic categorisation, repeat and complaint metrics into team and individual PowerBI dashboards.
Implemented enterprise-wide data transformation programmes integrating AWS Connect and Databricks.
Streamlined processes using Six Sigma principles to enhance operational KPIs.
BLK
Project Management Associate
2019 | Edinburgh
Managed project controls and introduced cloud based solutions reducing fund publication time from 30 days to 1 day.
Collaborated with global teams to design new operating frameworks that improved regulatory compliance.
Winner of the 2019 EMEA AI challenge competition predicting failed trades within a 1.6 million sparse dataset of 160 metrics.
Education
BEng (Hons) Electronic Engineering – 2:1
1998 – 2003 | Glasgow Caledonian University
Dissertation: Advanced research on Turbo Coding for next‐generation wireless standards.
R&D Programmer / Test System Internship
2001 – 2002 | Johnson Electric GmbH, Stuttgart
Developed C++ motor measurement tools to enhance QA reporting accuracy.
Proposed process improvements that were adopted company-wide.
