Arpit Patel

I am a Mechanical Engineer specializing in sustainable energy systems, energy efficiency, and carbon reduction technologies. Currently pursuing a Master's in Earth and Environmental Engineering at Columbia University, I combine engineering fundamentals with data-driven insights and machine learning to optimize energy performance and integration.

My experience includes turbine manufacturing at Siemens, agrivoltaic system design, and Earth Air Heat Exchanger (EAHX) optimization, where I've applied mechanical, electronic, and computational principles to enhance system sustainability. I am particularly interested in using machine learning for energy market optimization, renewable energy integration, and predictive modeling for climate-resilient systems. My goal is to create innovative, data-informed solutions that drive the transition toward a cleaner and more sustainable energy future.

I have hands-on experience in sustainable energy systems, gained through work in turbine manufacturing at Siemens, agrivoltaic system development, and Earth Air Heat Exchanger (EAHX) optimization projects. My background combines mechanical engineering with data analysis and machine learning applications to enhance energy efficiency and system performance. I’ve worked on projects focused on renewable energy integration, carbon reduction, and climate-resilient technologies, developing a strong ability to bridge engineering design with computational modeling and sustainability goals.

I am pursuing a Master’s in Earth and Environmental Engineering at Columbia University, where my focus is on sustainable energy systems, carbon management, and the application of machine learning in energy optimization. I hold a Bachelor’s degree in Mechanical Engineering with a minor in Electronics and Computer Engineering, where I specialized in energy technology and gained hands-on experience in projects involving agrivoltaics, turbine systems, and Earth Air Heat Exchangers (EAHX).