Hyderabad, Telangana, India
Working on Google TV Mobile
1. Spearheaded the conceptualization and execution of the Apple Watch app for Microsoft To Do, achieving successful deployment and availability on the App Store. 2. Instrumental in the development of the new Planner web application at Microsoft, with a key role in conceptualizing, architecting, and implementing Personal Task Management features within the application. 3. Honored with the Star award by Microsoft E+D for demonstrating exceptional time management skills, prioritizing customer issues effectively, and consistently delivering outstanding results.
1. Contributed to the Microsoft Task team, focused on enhancing the Microsoft productivity apps - To Do for iOS and MacOS. Engaged in the end-to-end development of several new features and pipelines. 2. Spearheaded the implementation of innovative iOS widgets during a hackathon for the iOS app, swiftly transitioning them to production within a remarkably short timeframe. 3. Played a pivotal role in the development of key features including the migration of the dependency manager from Carthage to Cocoapods, integration of rich text support in notes, ensuring compliance with US executive orders, and more.
Research on Recommender Systems - Developed a Context-Aware sequential Recommender System using RNNs to Recommend a cart of Beer to Retailers. Also integrated the same Recommender system in the Recommender Engine (RecSys) of AbInBev.
1. Developed an Image Similarity model using Deep Convolutional Neural Networks for matching product images and used the feature similarity model for mapping RedMart products to competitor products. 2. Built an API for Automated Data Analysis, Visualisation and Data Retrieval based on Competitor's data, and drew strategies for the Pricing Engine, also giving new Product Recommendations to RedMart.