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Freelancer Overview

I am an AI Engineer and Data Science undergraduate with hands-on experience in building and evaluating machine learning solutions, with a strong focus on high-quality data pipelines and annotation workflows. My background includes developing supervised and unsupervised models, engineering features, and ensuring robust data preparation using Python, Pandas, NumPy, scikit-learn, and SQL/MongoDB databases. I have led projects in NLP and computer vision, such as an LLM-powered mental health assistant (with retrieval-augmented generation, safety guardrails, and human-in-the-loop evaluation) and an AI-driven image recognition system for face detection and organization. My approach emphasizes data quality, reproducibility, and ethical AI, and I am skilled at transforming raw data into structured, actionable training datasets that drive reliable model performance.

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