I’m currently working as a senior software engineer with the Uber Marketplace Configuration and fulfillment platform team which powers a diverse variety of Uber’s services and a source of truth for products and fare configurations across the world.

Worked as a part of the Customer Platform team for Google Maps Enterprise org. Contributed extensively to the Maps API offerings and solutions on Google Cloud Console and as a full stack developer.

Worked on developing an Automation Framework and Virtual Simulation Environment to create thousands of virtual users and wearable devices and monitor user-to-user interactions (such as voice messaging, call functionality, Virtual Assistant interaction) using signaling protocols and design patterns.Developing RESTful APIs in Spring Boot using proper principles to enable client to make use of different device capabilities, create virtual users and simulate interaction.

Developed a scalable, web-based full stack application to configure Vocera's wearable devices Developed RESTful endpoints to enable users to make changes in device's configuration files.Created a responsive, Single Page front-end application using Angular.js

Worked as a teaching assistant for course CMPE 275 : Enterprise Application Development, which focuses on developing enterprise level applications using Java Spring Boot, RESTful APIs and cloud deployment.

This project uses Machine Learning to perform feature based classification and sentimental analysis of product reviews.Led a team of four software engineering interns to deploy the project as a web-application using Flask Python frameworkImproved data pre-processing efficiency by 20% by using natural language processing though Python NLTKAchieved 88% classification precision by using a combination of N-Gram POS taggers and Brown Corpus as the training setSuccessfully designed state machine to extract features and opinions from user reviews of a given product on E-Commerce websitesPerformed sentimental analysis using Naïve Bayes classification with 84% accuracy and stored the processed data in MongoDB