Hi, I'm Amogh Garg

Working on Microsoft 365 Enterprise Copilot. Designed and delivered new features in prompt suggestion experiences to improve user productivity, engagement, and adoption. Developed a platform to analyse user behaviour and prompt performance using Azure Machine Learning, generating insights that informed product decisions and continuous improvement. Partnered closely with product managers, cross-functional engineering teams, and customers to identify user needs and translate ambiguous requirements into scalable solutions.

Contributed to the development and enhancement of Intune, a cloud-based endpoint management product by migrating the existing system to a more robust architecture, with a focus on persistent databases and microservice architecture, ensuring enhanced reliability, scalability, and performance. Worked extensively with C#, .NET, and CosmosDB.

Worked with the Intune Data Infrastructure team under Security Org. Responsible for a proof of concept regarding consolidation of multiple routes and target data sources in the Intune reporting pipeline. Worked on Python and Microsoft Azure services including Azure Data Lake Storage, Microsoft Purview, Azure Synapse Analytics, Delta Parquet format, dedicated SQL pools, Spark pools, Azure Data Factory, and ETL Pipelines.

Under the mentorship of senior developers, built a browser-based application demonstrating the application of Face Recognition technology for secure user authentication. The project leveraged the Facenet model, Flask, and MongoDB for a full-stack implementation.

Led a team of 10 students to develop a software to generate summaries of webinars. Mentored juniors on ML projects, conducted sessions on ML basics, and hosted technical fests, events, and competitions related to Data Science and ML.