Software Engineering Intern at Google for Summer'23. My work involved the productionization and migration of the Data Export Service of the Content Abuse Platform, replacing the existing Plx/F1 scripts with Flume Pipelines written in Java. The pipelines offer modular control over the data and the greatly reduce the running time required for each run.
I am currently pursuing my MS in Computer Science(Honors), from the University of Southern California. As part of my program, I have taken advanced courses in Analysis of Algorithms, Database Systems, Security Systems, OS and Foundations of AI, which have provided me with a deeper understanding of the latest trends and developments in the field.
Worked at Arcesium, a spin off from D.E.Shaw & Co, where I served as the primary SME for the application, Transporter. I developed and managed Transporter, that handled 95% of all traffic on the Arcesium platform. It was responsible for performing program-to-program data delivery between systems and was crucial in managing $420 billion of assets that the firm supported.
ACM ICPC Southern California Regional Contest, Rank 7
Global rank - 381 in Google Kickstart
Codeforces Rating: Expert
Hackerrank Rating: 6
Created Plug and Play Cluster Computing, , a highly scalable and fault-tolerant distributed system. It assembles a cluster instantaneously without any hardware setup or software installation. The web-based interface allows administrators to upload a task which is then automatically distributed amongst the nodes in the cluster.