My name is Aman. I am a student at the University of Michigan studying computer science.
In my spare time, I love to practice the violin, listen to French Impressionist composers, and watch Bojack Horseman.
Airborne is a data analysis tool for studying potential relationships between the COVID- 19 pandemic and air quality in the US, using case data from The COVID Tracking Project and particulate matter (PM2.5) readings from OpenAQ.
I developed Airborne in collaboration with Carston Koziol for a school project.
Named after the great pedagogue Ivan Galamian, Ivan is a lightweight metronome and scale practice tool for string musicians. Using the musician's microphone, Ivan can keep track of their scale repetitions.
During my internship at the Mechanical and AI Lab at Carnegie Mellon University, I joined the ManufacturingNet team to build an open-source ML library for manufacturing professionals.
I also designed a website, manufacturingnet.io, to accompany the project.
For details about previous employment, check my LinkedIn.