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Freelancer Overview

I am an experienced AI trainer and quantitative analyst with over 5 years of hands-on expertise in data annotation, model evaluation, and AI safety. My background includes developing algorithmic models in Python, performing detailed statistical analysis, and conducting "Red Teaming" to identify edge cases and harden model logic. I have worked extensively with time series data, predictive modeling, and anomaly detection, applying these skills to both financial and sports markets. My proficiency in Python (Pandas, NumPy), SQL, and tools like Google Colab and Jupyter Notebooks enables me to deliver high-quality, accurate training data and insightful model assessments. I am passionate about ensuring the reliability and safety of AI systems through meticulous data labeling, prompt engineering, and rigorous evaluation processes.

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