Professional Overview
Highly motivated AI/ML professional with over three years of proven experience in data annotation and quality assurance for computer vision and vision-language models. Proficient in reviewing large volumes of video data, ensuring accurate alignment between AI-generated descriptions and on-screen actions for complex workflows, including stow activities and speaker identification. Skilled in identifying and documenting critical edge cases, and providing consistent feedback that reduced annotation mismatch errors by over 25%. Capable of working independently and adapting to changing guidelines to uphold high data quality standards.
Areas of Expertise
Computer Vision
Develop image recognition, object detection, video analysis, and multimodal AI systems for real-world applications.
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.
