About me

I am a final-year Ph.D. student in the ECE department at Carnegie Mellon University. I am advised by Prof. Gauri Joshi and Prof. Weina Wang. My research interest lies in applied probability, performance modelling of computer systems, statistical inference and machine learning. My doctoral work is in optimizing the cost-aware performance of large-scale computing systems by accounting for and exploiting traffic patterns that mimic real-world demand.

I spent my amazing Summer 2022 at MSR-Redmond working on cheap distributed inference for large scale ML models.

Prior to joining CMU, I did my Bachelor's and Master's in Electrical Engineering from IIT Bombay. During that time, I was fortunate to work with Prof Nikhil Karamchandani and Prof Jayakrishnan Nair.

I am currently on the job market. If you are interested in my profile, feel free to contact me.

Here is a link to my CV.

Education

Awards

• Jack and Mildred Bowers Scholarship in Engineering for the Academic year 2022-23
• Best Paper Award at ACM Mobihoc'22
• Received CIT Dean's fellowship 2019.
• Secured All India Rank of 779 in JEE Advanced Examination amongst 0.15 million candidates 2014.
• Received the Kishore Vaigyanik Protsahan Yojana (KVPY) fellowship by the DST, Govt. of India 2013.
• Among top 300 (top 1%) to appear for the Indian National Physics Olympiad and Astronomy Olympiad.