English Language Audio Model Trainer
This project involved evaluating and ranking multiple AI-generated audio responses to determine which best meets criteria for naturalness, clarity, and instruction adherence.
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I am an experienced technology specialist and health informatics professional with a strong background in data labeling, AI evaluation, and quality auditing for both healthcare and emerging AI technologies. My hands-on experience includes performing data annotation and quality checks for AI-generated text, images, and websites, as well as providing structured feedback to improve training datasets. I have worked extensively with clinical data, EHR systems (Epic), and HL7 interfaces, ensuring data integrity and accuracy in complex healthcare environments. My technical skills include SQL, Excel macros, process automation, and technical documentation, and I am comfortable working in Agile teams or independently. I am passionate about leveraging my analytical abilities and domain expertise to support the development of high-quality AI models and data-driven solutions.
This project involved evaluating and ranking multiple AI-generated audio responses to determine which best meets criteria for naturalness, clarity, and instruction adherence.
This project was centered on OCR/Visual Text Labeling. It involved identifying and verbatim extracting all on-screen text from short video clips, including precise timestamps for each occurrence.
I worked across multimodal AI evaluation tasks involving image, video, audio, and web-based workflow
Master of Science, Health Care Informatics
Bachelor of Science, Information Technology
Clinical Applications Associate Analyst
Data & Systems Specialist