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Freelancer Overview

I am a Computer Science and Engineering student with hands-on experience in building AI-driven applications and end-to-end machine learning pipelines. My background includes developing an AI mock interview app that simulates real interview scenarios and delivers personalized feedback, giving me practical exposure to data collection, annotation, and user-centric feedback loops. I have a strong command of Python, SQL, and frameworks like TensorFlow and PyTorch, as well as tools such as MLflow, Docker, and Git for robust data workflow management. My projects, including a wine quality prediction pipeline and a full-text search engine, demonstrate my ability to handle data ingestion, validation, transformation, and experiment tracking. I am detail-oriented and skilled in collaborating on data-centric projects, making me well-suited for data labeling and AI training data roles.

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