Nicholas M.

Nicholas M. has a diverse background in engineering and machine learning, with practical experience in a variety of roles. As a Student Researcher at Stanford University's Autonomous Systems Lab, Nicholas developed Python simulations for transportation algorithms and created data visualizations. At VTA, Nicholas served as a Management Analyst, where a real-time data dashboard was developed, enhancing oversight of electric bus operations. Currently, as an Associate Machine Learning Engineer at Intradiem, Nicholas is applying advanced techniques in machine learning. Previous roles include Software Engineer at Qualtré Inc., where sensor yield improvement was achieved, and Frontend Developer at Gfycat, focusing on content management systems. Nicholas holds a Master's degree in Industrial Systems Engineering from Lehigh University, where significant contributions were made as a Graduate Research Assistant in energy consumption modeling and student mentorship. Educational background includes graduation from Phillips Academy and an Integrated Degree Program from Lehigh University.