Professional Overview
AI Training and Evaluation Specialist with 5+ years of experience across AI training, model evaluation, data annotation, quality assurance, data validation, and process improvement. Experienced in evaluating AI-generated responses, performing AI output assessments, reviewing annotations, evaluating Meta Ads, and applying project-specific guidelines to assess accuracy, relevance, quality, and compliance. Skilled in identifying model errors, analyzing edge cases, conducting quality reviews, and documenting evaluation findings. Technical knowledge of Python, SQL, machine learning, deep learning, and test automation, with the ability to combine analytical thinking and technical skills to improve AI evaluation quality and data reliability.
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.
