I am a multidisciplinary STEM professional who bridges genetics, biochemistry, and AI training to create precise, real-world training data. With a Master’s-level research background in Genetics and a Bachelor’s in Biochemistry, I bring deep knowledge of molecular biology, genetic analysis, and biochemical processes, complemented by 4+ years of hands-on AI/ML model training through high-accuracy data annotation, QA, and structured feedback across video, image, text, and audio datasets.
I thrive on solving complex scientific problems and communicating intricate concepts clearly. I aim to leverage my integrated biology and AI expertise to develop exceptional training data for interdisciplinary STEM and AI applications, while contributing to rigorous data standards and collaborative, cross-functional teams from remote or on-site roles.
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