Professional Overview
Computer Science graduate with hands-on experience in AI data annotation, labeling, and domain expertise. Skilled in video/action labeling for robotics, AI evaluation, and quality review. Seeking roles contributing technical expertise to AI training and evaluation projects.
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.
computer vision
Develop image recognition, object detection, video analysis, and multimodal AI systems for real-world applications.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
