Data labeling
I used Multimango and Hubstuff platforms to work on the projects
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I have extensive experience in building and optimizing AI and machine learning systems, with a strong focus on data labeling, annotation, and training data pipelines. My work spans domains such as computer vision, natural language processing, and medical data, including developing federated learning algorithms for large language models, designing annotation workflows for medical image analysis, and building real-time object detection systems for accessibility. I am highly skilled in tools like TensorFlow, PyTorch, Kubeflow, and AWS SageMaker, and have implemented scalable data processing pipelines using Apache Spark and Kafka. My hands-on research and engineering projects have required me to manage, curate, and validate large-scale labeled datasets, ensuring data quality and privacy compliance, especially in sensitive areas like healthcare and accessibility. I thrive in collaborative environments, mentor teams on best practices for data annotation, and am passionate about advancing robust, ethical AI through high-quality training data.
I used Multimango and Hubstuff platforms to work on the projects
Master of Science, Software Engineering
Bachelor of Science, Computer Science
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