Conceptualized and designed a social network for food to simplify adding food reviews and discovering food.

• Built the entire full-stack app from scratch using dropwizard framework, MongoDB, Redis, React and hosted on AWS.

• Implemented customized feed generation and search engine for finding foods/restaurants/users.

• Added complex features like authentication/authorization, auto-complete search and nearby location filtering.

Worked as a full-stack engineer in building an application that provides a visual search technology to help homebuyers to find their right home faster. Specifically,

• Developed and implemented the entire iOS application using React Native, integrating efficient search functionality using Node.js and MySQL.

• Collaborated within a team of five, conducting weekly meetings to coordinate progress, address challenges, and ensure project alignment.

Active contributor to open source Apache Pinot, a real time OLAP datastore which powers high throughput low latency analytics applications at Linkedin, Uber, Stripe etc. Some notable contributions:

• Worked on adding support for SQL EXTRACT syntax to Pinot Query interface.

• Supporting limit clause for point queries

• Fixing bugs to make the platform more robust.

Consolidated several (deprecated) ruby microservices and ported the functionality into the new Elixir codebase. Specifically,

• Implemented two different Kafka consumers to transport data logs to Elasticsearch and AWS S3 respectively in the new Elixir codebase.

• Deployed both Kafka consumers to production.

• Also, Investigated and root-caused un-named GraphQL queries in the production system.