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CVAT
iMerit
Scale AINo subject matter listed
Computer Code Programming
Image
TextI bring over 7 years of hands-on experience in data annotation, dataset quality assurance, and AI training data pipelines, with a strong focus on both text and image modalities for machine learning and computer vision projects. My work includes evaluating large language model outputs for reasoning, factual accuracy, and alignment, as well as delivering high-precision annotations that support supervised ML systems. I am skilled in Python, PyTorch, TensorFlow, and tools like Docker and Linux, and have contributed to projects such as pneumonia detection using ResNet and multimodal annotation pipelines with robust QA workflows. My interdisciplinary background in psychology and philosophy also allows me to approach data labeling with a keen understanding of human biases, ethics, and usability, ensuring that the data I curate is not only accurate but also aligned with human-centered AI principles.
Annotated the images, bounding boxes and wrote prompts that would make the images into the resultant image
Doctor of Philosophy, Artificial Intelligence and Machine Learning
Master of Science, Machine Learning
AI & Data Science Trainee
Machine Learning Researcher
