Professional Overview
I evaluate and annotate data for AI and machine learning projects on platforms including Tryrating, Remotask, Outlier, and Appen. One project involved reviewing search relevance data to improve an AI model's accuracy by 15%. The tools mostly used are the guidelines provided.
Experience
Employment Type
Education
Field of Study: Health Sciences
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.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
