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Nicholas Broad is a skilled ML Engineer at Hugging Face, known for accelerating AI/ML projects by building custom LLMs and utilizing various processing units. With a strong background in data science and research, Nicholas has also worked at GSK as a Data Scientist, focusing on NLP applications, and at SharpestMinds as a Data Science Fellow, where Nicholas built a web app for sentiment analysis. Additionally, Nicholas has experience as an Academic and Test Prep Tutor, Financial Manager, and has conducted research at Stanford University and Lawrence Livermore National Laboratory. With a Bachelor of Science degree in Electrical Engineering from Stanford University, Nicholas possesses a diverse and impressive skill set in the field of technology and data science.