Industry Solutions Engineering (Azure and AI) - Built product features for Fortune 500 clients within Microsoft’s Industry Solutions Engineering organization.
• Built a contextual recommendation Microsoft Edge extension using C#, Azure Cosmos DB, and React.js that analyzed Bing search click patterns to surface related articles, increasing user engagement by 15%.
• Developed a lightweight ranking model (logistic regression–based scoring) leveraging user click patterns and engagement signals to prioritize relevant articles in a contextual recommendation system.
• Designed backend services and data pipelines using Azure Functions, Azure Cosmos DB, and Azure App Service to ingest, store, and query large-scale user interaction data with low-latency performance.
• Optimized client-side performance and state management in React to support real-time recommendation updates without degrading browsing experience.
• Shared technical knowledge across teams, delivering sessions on applied machine learning concepts, emerging technologies, and best practices for building production software.