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Freelancer Overview

I have hands-on experience developing AI-powered systems that rely on high-quality labeled data, including building an AI grading platform for math and physics that integrates multimodal LLMs, OCR, and image quality checks to ensure reliable and accurate automated assessment. My work spans designing and implementing end-to-end data pipelines, creating responsive data visualizations, and developing custom simulations for scientific concepts using tools such as Python, React, SQL, and cloud platforms like AWS and Google Cloud. I am skilled at orchestrating data annotation processes, estimating model confidence, and refining UX based on user feedback. My background in both technical development and scientific research equips me to understand the importance of precise data labeling and annotation for robust AI model training, especially in complex domains like education, biophysics, and health data. I have experience building an end-to-end AI grading platform being used by universities.

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