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Freelancer Overview

I bring over 16 years of experience as a mechanical engineer, energy analyst, and data scientist, with a strong focus on data annotation, AI training data, and machine learning model evaluation. My background includes hands-on work designing and curating large-scale, high-quality datasets for generative AI and NLP applications, as well as structured annotation and validation workflows to enhance model interpretability and performance. I am highly proficient in Python, R, PyTorch, TensorFlow, and Keras, and have applied advanced data engineering techniques for risk modeling, time-series forecasting, and text mining across domains such as aerospace, energy, and supply chain analytics. My experience collaborating with cross-functional teams, authoring technical documentation, and developing scalable data pipelines ensures I deliver actionable insights and robust training data solutions that meet both research and operational standards.

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