Standardizing data access for scaling new Monetization Products.

Powering agile and data driven business planning/operations for Meta Business unit.

Worked on building a full-stack Google Cloud pipeline and web app for computationally intensive internal tasks involving web scraping and automation with status updates in asynchronous processing patterns. Google cloud platform components used are App engine, Cloud storage, Cloud functions, Compute Engine, Mongo Server.

Technology stack includes Python (Celery distributed queueing, RabbitMQ message broker), MongoDb, ReactJs Redux Typescript, Styled Components, Flask.

Teaching assistant for the following courses:

CSCI-GA.3033-006: Realtime and Big Data Analytics

CSCI-UA.0480-​010: Agile Software Development and DevOps

Working on internal messenger based chatbot to analyze and alter their metrics and limits of a trading-related platform.

Developing application server and APIs to interact with the bot and the platform which uses REST and gRPC - ProtoBufs.

Automating the approval workflows for limit alterations to the platform using the bot. Extensively using design patterns and modular approach to enhance the code quality. Technology stack includes Java, spark, Java Spring.