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ImageI am a computer science student and freelance AI data trainer with hands-on experience in data labeling, annotation, and AI model evaluation across diverse domains such as NLP, healthcare analytics, e-commerce, and computer vision. My work includes evaluating AI-generated responses for accuracy and relevance, identifying logical errors, and providing structured feedback to improve model quality through RLHF. I have built and managed data pipelines using Python, Pandas, TensorFlow, FAISS, and OCR tools, and am skilled in designing annotation workflows for both text and code-based AI models. My experience spans projects involving healthcare data analysis, generative AI code evaluation, and automating document processing with LLMs and vector search, always maintaining strict data confidentiality and attention to detail in remote, collaborative environments.
Performed diverse data labeling tasks for LLMs, evaluated model outputs for factuality and logic, ensured high-quality training data passed quality assurance workflows, and fine-tuned generative AI models.
Bachelor of Science, Computer Science
Associate of Applied Science, Computer Programming
Healthcare Data Analytics Externship (Hosted by Trubridge)
Data Analysis Externship (Hosted by Beats by Dre)
