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Snorkel AINo subject matter listed
TextI am a detail-oriented data quality specialist with years of experience transforming raw datasets into reliable, ground-truth training data for AI and machine learning teams. My background at Baystate Health has given me deep experience with medical data annotation, including labeling 2D and 3D environments for clinical and imaging projects. I thrive in high-precision, repetitive workflows where accuracy is critical, and I’ve led quality audits and cross-functional pilot projects that improved both dataset integrity and annotation speed. I am highly adaptable, quickly mastering new tools and workflows, and I excel at communicating technical feedback to engineers to optimize labeling platforms. My commitment to zero-error data labeling, combined with my mentorship of junior analysts and focus on compliance, ensures that every dataset I work on supports robust, reliable AI development.
Preparing raw information for ingestion into LLM models by labeling it with Metadata allowing it to distinguish images,text etc and navigating into the real world
Bachelor of Science, Research Methodologies, Data Visualization, and Analytical Logic
data analyst
