Stanford University
Master of Science, Artificial Intelligence
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With over 11 years of experience in AI and machine learning, I have specialized in building and optimizing large-scale NLP and computer vision models, with a strong focus on the quality and integrity of training data. My work has involved designing and deploying robust data pipelines and annotation systems at organizations like OpenAI, Google, Microsoft, and IBM, where I collaborated closely with research and engineering teams to ensure the accuracy and reliability of labeled datasets for tasks such as fraud detection, recommendation systems, and enterprise cloud applications. I am highly proficient in Python, TensorFlow, PyTorch, and cloud platforms, and have hands-on experience with tools like Kubeflow, Docker, and Kubernetes for scalable data processing. My background in both developing and validating ML models gives me a deep appreciation for meticulous data labeling and annotation practices, which I believe are foundational to successful AI solutions.
Kayla S. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Master of Science, Artificial Intelligence
Bachelor of Science, Computer Science
Senior AI Specialist
Machine Learning Engineer