Artificial Programmer / AI Developer
Led the development of high-quality training datasets for both NLP and computer vision projects. Analyzed, corrected, and evaluated machine learning model outputs to reduce inaccuracies and bias and to improve precision. Designed and refined AI-driven data workflows to enhance safety and accuracy of ML models. • Developed and applied evaluation metrics for model response accuracy and performance. • Oversaw dataset creation and review processes for large language models and vision datasets. • Implemented procedures for improving model fairness and reliability through data analysis. • Contributed to a 20% improvement in model output precision.