Duncan McMillan

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Software

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Freelancer Overview

I am a Chartered Engineer and PhD student with hands-on experience in machine learning, data science, and software development, specializing in the optimization and monitoring of complex energy systems. My work has involved developing and deploying ML-driven solutions for industrial time-series data, including building anomaly detection and gap-filling algorithms for large-scale sensor networks, and creating end-to-end pipelines for data preprocessing, model training, and evaluation. I have engineered AI-assisted knowledge extraction tools using LLM/RAG technologies and have a strong command of Python, PyTorch, TensorFlow, Pandas, and related frameworks. My background includes designing and validating digital twins, implementing quantitative optimization, and applying data-driven insights to real-world engineering challenges, making me adept at ensuring high-quality, accurate data for AI and ML applications.

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2006 - 2006

Education

Work History