Google Ads• Building large scale deep learning models to maximize performance for advertisers on Google Ads.

Google Assistant• Built critical features for Google Assistant's integration with media providers like Netflix, Spotify, and Youtube. Implemented and optimized playback/browse user journeys for Music, Movies, TV Shows, and Videos. • Developed Machine Learning models and decision engine to trigger appropriate Assistant actions on the appropriate media providers. Example: If user says "Play Frozen", it could mean 'play Let It Go song on Spotify' or 'play Frozen movie on Disney+'.• Significantly improved various metrics including successful assistant interaction rate, daily active users, user satisfaction score, and playback/watch time per user.

• Built customer-facing features which facilitate admin users in creating and managing new and existing content.• Developed REST APIs for microservices in Rally Engine, using Scala and Play framework.

• Developed C++ based robust and scalable back-ends that handle 112 services and serve more than 2200 transactions per second with 99.99% availability.• Collaborated with senior leadership, application managers, globally distributed teams, and customers to systematically deploy services to more than 400,000 agent offices in production.

• Migrated Passenger Name Record (PNR) folder structure and 60 million highly volatile PNR from IBM’s mainframe system to Oracle Database while ensuring data integrity.• Developed a mechanism to keep databases in IBM’s mainframe system and Amadeus’s system synchronized.