Shubham Chaudhary

Working as the Team Lead for ML Team - handling machine learning in reviews, ratings and other products. * Developed new scalable user credibility and restaurant rating algorithm * Developed a scalable review spam detection algorithm * Built review highlights using Natural Language Processing in Reviews. Deployed entire Python stack in production. Automated the entire production process using Ansible and AWS spot instance creation using boto. * Built and deployed an image classification model to classify food images, ambiance shots, menus, humans. Built apis to allow multiple products to utilize the model. Built robust data pipeline to classify incoming fresh uploads. * Working on image quality scoring model

* Handled entire Zomato For Business Android (working end to end - api to apps) * Published 20+ releases of Business app (including complete makeover in terms of design) * Spearheaded optimisations for the core modules used in all Android apps (HTTP, serialisation, caching techniques etc) * Optimized Network layer resulting in 30% overall speed improvement * Reduced cold start time in Android apps by 300% * Reduced size of Business app by ~40% * Increased product robustness by putting additional focus on unit tests (junit/robolectric) * Introduced automated functional tests for faster releases (espresso) * Introduced and setup continuous integration for multiple Android teams (daily builds with jenkins) * Reduced 70+ man hours from every release with tests and automation * Handled backend apis for Business apps

Project Goals: 1. Build an android application which controls the functioning of Germ-Zapping Robots. 2. Build a web based system which takes care of all the hospital management functionalities, client management functionalities, device management functionalities, etc. 3. Create REST API to interact with other third party systems. See project description for more details.