BING marketplace and Ads

1. Led a team of 3 in designing and building an internal .NET web tool using C#, JavaScript, and HTML, improving BING news quality, clickthrough rate, and debuggability.2. Developed RESTful APIs in C# to handle requests from more than 100 million daily active users from BING news.3. Designed and implemented RPCs in C++ to enhance user personalization and recommendation infrastructures, improving user clickthrough rate by 0.7%.4. Built Azure data factory data pipeline with Azure storage and improved metadata extraction for Microsoft News to improve accuracy of ranking data, improving user clickthrough rate by ~3%.5. Containerized applications using Docker and deployed fullstack services on Azure AD to streamline access.6. Implemented unit and integration testing, logging, and telemetry in C# with Azure analytics and app insights, increasing test coverage by 2%.7. Migrated and refactored legacy Javascript codebases to Typescript, improving scalability and performance of codebases.8. Built a Python data aggregation pipeline on Databricks using Azure storage and SQL to transform ~850 million user queries into meaningful metrics.9. Developed RESTful APIs in C# that supported requests from more than 5 million users in Microsoft Dynamics CRM.10. Designed and implemented API pre-fetching on subscription services in TypeScript, improving sign up rate by 0.8%.11. Built a Python tool to assist data scientists with data extraction, improving query efficiency and cutting database cost by 1%.12. Scaled data pipeline with partitions to handle exponential data growth from 5 million to 850 million records.13. Implemented logging, data backfilling, and retry mechanisms to monitor and rectify pipeline issues, improving pipeline success rate.

1. Built backend services for a centralized patient scheduling application in Java, streamlining patient scheduling service.2. Built a Python web scraper to extract medical criteria from insurer websites, providing users clarity into medical coverage.3. Created a centralized real-time chat system using Web Socket for medical insurers and network physicians, allowing for instant communication.4. Developed RESTful APIs in Java capable of handling requests from 200,000 daily active users.5. Built automated tests in Java for implemented services, reducing client-reported bugs through enhanced unit testing.