- Developer for an internal SDK tying together our ML Feature Platform responsible for enabling data scientists to create models at scale, at a fast pace.- Work with different teams to build out and/or incorporate their modules into the SDK.- Provide data science with a push button, easy to use environment that is ready to discover, extract, register, compute, store and serve machine learning features.- Work with data science to understand their needs, and see how we can improve their day to day.- On the development team responsible for clickstream data processing pipeline using Flink.- Our pipeline handles enriching and streaming 500 million events daily into Kafka in real-time (<50ms) to enable and power many different internal applications and customer facing services including Capital One Eno.- Designed and developed several monitoring solutions for validating data, ensuring consistency and overall health of the application.- Developed and maintained the entire build and deployment process with a CICD pipeline on Jenkins.- Worked with internal customers and teams to add different enrichment schemas, automate tracking and build out tools on top of our data pipeline.- Using opentracing to monitor, trace, and make consistent, standardized auditing possible against all services through our streaming data platform.- Additionally enabling producers to easily provide ample data for analysts and many other consumers also through their own Kafka topics.- Utilized serverless technology to create a real time, fraud and customer assistance alert system. Created tools to assist in the development and delivery process of AWS Lambda and Step Function based systems.

Work closely with other research assistants and software engineers on a campus bus tracking service. Working on the android application.

Teaching Assistant for CSE 220 System Fundamentals taught by Professors Jennifer Wong-Ma and Kevin McDonnell.This course will introduce assembly language programming and essential concepts of computer organization and architecture. The focus of this course is on the computer organization of a computer system, including the processor architecture and the memory system. In particular, we will discuss the internal representation of information, performance evaluation methodology, instruction set architectures and implementation techniques for computer arithmetic, control path design, and pipelining.I hold two lecture reinforcement recitations weekly, as well as hold extra help sessions for students. Actively respond and aid students through their class page at www.piazza.com .

Internship at Capital One. I worked daily on exploring the potential applications of new technologies, typically open source. Using Docker, AWS, Google Cloud, Kubernetes, Mesosphere and Marathon I was able to improve some of Capital Ones internal tool suites by migrating monolithic applications to distributed microservices over AWS with Docker.