Hi, I’m Arslan Amin, a versatile AI data annotator and ML engineer with 3+ years of hands-on experience building high-accuracy models, annotating datasets, and optimizing data for health and autonomous applications. I’m passionate about data quality, model performance, and turning complex health and traffic data into actionable insights.
I have collaborated with HealthAI Solutions, AutoVision Tech, SportsAI Analytics, and UrbanTech Solutions on projects ranging from medical NLP labeling to autonomous vehicle segmentation and traffic monitoring. I thrive in cross-functional teams, value clear communication, and am dedicated to delivering reliable results that translate to real-world impact.
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Labeled and validated medical text data for NLP models using
Label Studio, resulting in a 20% improvement in dataset quality.
Conducted usability testing on annotated health content to inform
AI training decisions.
Worked closely with domain experts to translate complex health
queries into structured annotations.
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