Vinaya Polamreddi Email and Phone Number

Building Glean AI Assistant to bring Work AI to All!

Worked on foundational ML models to help launch Apple's very first MR headset: the Vision Pro!

Working in the Computer Vision team in Facebook AI specifically the video understanding team. Some of the projects I have worked on:Optical Character Recognition:- Built the end to end system for recognizing text in videos at facebook scale, used by more than a dozen product teams across facebook. - Zero to one project that includes large scale infra, training/ making frame based detection and recognition models work for video at production scale, building video models to make the OCR process more efficient.- Gave a talk at @Scale 2019 conference about this work: https://lnkd.in/gPirUGMLocalized Video Embeddings:- Built end to end service to provide rich, temporal representations for videos to be used in various classification use cases.

Helped teach classes, change the curriculum, designed homework assignments and tests.

Using Deep Learning for YouTube video classification for better search, recommendation, ads targeting and brand safety. Performing applied machine learning research and making models work at the scale of Youtube.

Implemented a data framework for admin messages in messenger web backend:- Designed and implemented an easy and efficient API to create, change and access admin messages- Converted all previous admin messages to implement the framework making changes through the web stackRefactored the mark read pipeline:Full stack work making many incremental changes to make the mark read and read receipt operations pipeline code in messenger cleaner, more performant and designed to make many planned future changes simple

Automated aspects of training object models through scripts; trained objects models; used parts-based model algorithm to train object modelsDeveloped web features for an object recognition projectImplemented a search feature to search on salient color of image instead of text; learned search engine architectureWrote large scale map-reduce jobs using Cascading to understand consumer dataImplemented a pipeline re-ranking recommendations through user feedback data such as clicks, repins; project included offline service with multiple data jobs to gather, aggregate and load data and online service to real-time rerank recommendations

Developed features for Microsoft's version control system, TFVC, to enable versioning for shelvesets - a set of pending changes not in the central repositoryDesigned the changes with consideration to compatibility and efficiencyCreated RESTful APIs for clients to access server functionalityImplemented stored procedures and server side logic in TFSImplemented command line tools and wrote client side logic for Visual Studio

• Worked with various business units to analyze requirements and design; • Wrote and executed test cases for web-services, Mainframe transmissions (RUMBA) and other internal applications in QC 10, ALM 11; • Created test plans for black-box testing, end-to-end testing, acceptance testing; helped outline UAT testing; filed defects, worked with developers to debug; performed validation after implementation; • Used QTP to automate data generation; used SQL to find test data