Hi, I'm Amogh Garg

Contributing 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, security, and performance. Worked extensively with C#, .NET, and CosmosDB, leveraging deep expertise in persistent databases. Applied in-depth knowledge of security best practices throughout the software lifecycle, ensuring that all systems are designed, developed, and deployed with robust security measures.

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.