- TA for Data Mining Techniques CS6220 (Fall ‘21, Spring ‘21)- TA for Object-Oriented Design CS3500 (Summer ‘20)

Implemented an Elastic Autoscaler using Kubernetes to dynamically adjust the compute power dedicated to Kafka consumers based on both system and custom metrics to minimize Producer-Consumer lag.- Saved ~160 hrs/year by eliminating human intervention- Reduced time to resolve lag incidents by 60-70%- Helped team maintain 99.9% SLA- Saved money by reducing machine cost because of dynamic scale-down- Less PagerDuty Alerts to on-call engineers

- Part of the Advanced Technology for Investment Management team and responsible for writing and maintaining the API layer of the company’s Market Risk Impact tool.- Worked closely with the Data Science team in developing a portfolio optimizer and integrated it into the Portfolio Market Risk Impact software. - Used AWS EC2, EMR, Jenkins, and Docker for development and deployment.

- Designed and developed highly scalable code for the company’s Wealth Management Product - Sonata.- Engineered multiple enhancements, maintained, and implemented client-specific features in the company’s product.- Used Agile and interacted with the Product Managers and End-Users through the design/development process.

- Programmed an iOS app (in Swift) using the SWXmlHash library for dissemination and searching recent press releases and developments through the website of Department of Economic Affairs.