Summary
Daniel Shen is a mechanical engineer and graduate student at MIT with eight years of interdisciplinary experience building data-driven energy and aerospace systems. He has productionized ML models and cloud services for building electrical load forecasting using AWS, quantified thermal storage performance through component modeling, and developed real-time Python tools for system metrics. His background spans lab research in radio astronomy and built environments to hands-on product engineering and payload design for suborbital flight, demonstrating an ability to take ideas from simulation through field deployment. Comfortable at the intersection of hardware, controls, and cloud software, he combines thermodynamics intuition with practical data science to deliver measurable customer savings. A detail that often surprises collaborators: he has moved between white papers and site-based retrofit work, balancing formal analysis with on-the-ground engineering.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Science (BS), Mechanical Engineering, Bachelor of Science (BS), Mechanical Engineering at University of California, Berkeley
English, Chinese, Spanish