At Goldman Sachs, I maintain Margin systems that support risk management, working on cloud migration, AI-enabled automation, application upgrades, and production issue resolution. I created an AI-infused application that analyzes database text statistics and reduces debugging effort by 20%.
I rearchitected the EOD position enrichment flow to use Kafka and REST instead of legacy architecture. The change improved execution time by 20%, improved resource utilization by 15%, and enabled the flow to handle 6 million+ messages at once.
During my internships at Motorq and Trilogy Innovations, I experimented with Trino and Starrocks for cost optimization and prototyped Morphy, an AI-assisted reading application. I also improved an anti-pattern detection system, increasing the accuracy of certain events by 20%.
At Amazon, I contributed to a React Native framework for Alexa widgets as an alternative to APL and contributed to the development of Alexa+. Earlier, as a Goldman Sachs Summer Analyst, I worked on moving large platform documents from an on-prem relational database to AWS S3.
