Professional Overview
Senior AI Professional shipping production AI: LLM conversational analytics, query/intent understanding, hybrid retrieval, tool-driven workflows, and multimodal systems. Own end-to-end lifecycle (data, models, prompts, eval, deployment, monitoring, optimization). Focus: agentic AI, long-context dialogue, analytics automation, zero-shot NL2SQL.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- • Built and shipped production AI systems and LLM applications
- • Conversational AI, long-context dialogue, and tool-using/agentic workflows
- Intent classification and entity extraction
- • Model evaluation, benchmarking, testing (offline, regression, production)
- • Prompt and context engineering
Key Achievements / KPIs
- • Built long-context conversational workflows and a 0.6 ms analytics engine.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Full-Time Postgraduate Study
AI Expertise
Skills
Employment Type
Description of Responsibilities
- • Progressed through tech data-management roles with increasing responsibility
- • Managed enterprise tech data, architecture, applications and projects
Key Achievements / KPIs
- Received the Employer of the Year recognition letter in 2013
- Short term international assignment to Shell UK Upstream, Aberdeen
Education
Field of Study: Machine Learning
Field of Study: Statistics
Field of Study: Applied Statistics
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
