Professional Overview
AI-focused engineer with experience in training, evaluating, and improving AI models and systems. Skilled in data preparation, prompt engineering, model evaluation, quality analysis, and iterative optimisation. Interested in building reliable AI solutions and working at the intersection of machine learning, data, and real-world applications.
Areas of Expertise
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.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.