Ai Data Trainer
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I am an experienced machine learning engineer and data specialist with over 12 years in technical roles, including extensive hands-on work in data labeling, annotation, and AI training data. My background spans the full data pipeline, from preparing and cleaning diverse datasets—text, images, and audio—to building and optimizing multilingual datasets for NLP and computer vision projects. I have a proven track record of using tools like Python, Pandas, NumPy, Labelbox, CVAT, and Jupyter to ensure high-quality, consistent data for supervised and unsupervised ML models. My work includes collaborating with stakeholders to refine annotation guidelines, leading to measurable improvements in model accuracy and data quality, as well as documenting processes for reproducibility and scalability. I am skilled at evaluating AI models, performing feature engineering, and applying statistical analysis to enhance real-world applications in areas such as search quality, audio/video analysis, and operational optimization.
Collecting data records.
Master of Science, Business Administration
Machine Learning Engineer