● Backend engineer on the Rider Ads team

● Built and deployed a brand new microservice which is now at the core of the Transit team architecture. Service was written on the tech stack (Golang, Protobuf over gRPC, Fx for dependency injection, and YARPC for service discovery.

● Designed and built out a new web configuration tool to allow the Uber Transit team to seamlessly configure fare rules and subsidies for multiple Uber Transit products at the same time. This made the process of setting up new Transit partnerships much faster.

●Worked as Full stack Eng interacting with technologies of the likes:

with logging and monitoring tools.

Worked on Uber's core communication delivery platform team, migrating some of the SMS service functionality to the latest tech stack in just 7 weeks :)

Worked on a team of 4 to develop an optimized location-based hobby matching web app.

Built Java servlets and datastores that run on maven to support a webchat framework hosted on Google App Engine.

Built features like sentimental analysis tool that makes use of Google cloud natural language processing API to be able to detect and take down abusive messages on the platform.

Developed an Image processing feature that is able to classify different images sent between users and make recommendations between users seamless.

Worked independently to develop an optimized path planner that predicts the fastest way to a destination coordinate.