I am a first year Ph.D. student at the Systopia Lab at University of British Columbia working with Prof. Alexandra Fedorova. My research interests lie in Operating systems, Architecture and Systems performance.
Operating systems, Architecture, Systems performance.
My research interests lie in the intersection of Operating systems and hardware. Specifically, I am interested in exploring how better abstractions can be created in Operating systems that can leverage new hardware to improve systems performance.
During my Masters I was a part of the PLASMA group and was
advised by Emery Berger. My project explored how existing thread scheduling algorithms can be improved by using statistical techniques.
I also worked with Hui Guan at UMass. As a part of this project I proposed a new compression based memory management policy for ML training.
• Updated a cache library for indexing location data being used by multiple teams to reduce latency by upto 6% across multiple projects.
• Added a feature to low-latency trades serving infrastructure at google to enable faster auctions of ads to be served by early rejection of 5% of total ads.
• Optimized the scalability distributed trading platform. Used containerization, machine learning and improved load balancing. Successfully increased throughput by 300%.
• Developed a distributed platform to calculate the fees for a given trade being processed using Gemﬁre. This increased eﬃciency of business processes by 200%.
Awards and Grants
OSDI and PLMW Student Grant, 2020
Morgan Stanley Global Tech Excellence award, 2018.
Morgan Stanley Outstanding delivery award, 2018.
Morgan Stanley Best Project award, 2018.
Regional mathematical Olympiad scholarship (3rd in city), 2009.