About me

I am a recent CS graduate from the University at Buffalo. My areas of interest are in parallel and distributed programming, applied machine learning, and data science.

Some of my recent exploits during my masters program are - being an open-source contributor to SCoOL - Scalable Common Optimization Library , understanding racial bias in ML Systems and enhacing the teaching material in this area, making a fault tolerent distributed key value store. More of my work can be found here. During my undergrad I worked in the areas of anomaly detection, scalable computing, and behavioral modeling. This lead to me publishing and presenting my work at international conferences.

Apart from having fun hacking away a solution, I enjoy making films, discovering new foods, and playing soccer. Feel free to drop me an email if you would like to connect!