Aguh George

I am a detail-oriented data annotation and machine learning professional with hands-on experience preparing and evaluating large datasets to improve AI and LLM performance. I have annotated tens of thousands of images and videos using tools and techniques such as bounding boxes, polygon segmentation, and text tagging.

I leverage Python, Labelbox, Prodigy, data cleaning, and basic machine-learning libraries (scikit-learn, pandas, NumPy) to troubleshoot workflows, optimize labeling processes, and contribute actionable feedback that increases annotation quality and tool efficiency.

I am passionate about advancing AI research, refining domain-specific prompts, and working in a dynamic, remote environment where I can apply strong attention to detail, critical thinking, and clear communication to drive measurable improvements in model evaluation and dataset quality.