Feb 2024 – Present · 2 yrs 1 mo

• Edge Browser:
• Building the planetary scale browser while focusing on the extensions ecosystem
• Developer validation, registration, cataloging of co-pilot plug-ins and gpts
• Developer relations for Edge browser ecosystem

Feb 2022 – Feb 2024 · 2 yrs

• Energy Industry
• Worked on building Azure Data Manager for Energy (ADME) a managed OSDU offering from Microsoft. ADME allows interoperability of data in a highly secure, scalable, and perform and Paas product focusing on oil and gas exploration scenarios allowing customers to operate with energy partners to generate business scenarios and insights.
• It is one of the very few partner led motions within Microsoft where we built a product along side our partners to cater to the top energy customer across the world.
• I lead a team of self motivated PMs to build a product grounds up all the way to general availability with financially backed SLAs.

Sep 2021 – Feb 2022 · 5 mos

• Gaming and Entertainment
• I lead product development for gaming developers to help them realize the true potential of cloud enabled services. Gaming developers already do a lot to build world class games. My role is to make them more productive by helping them to build some common tasks such as "managing player segments", "manage currency, catalog, stores, economy", and "manage player statistics" on cloud. I help game developers to be 100x productive by better use of cloud services.
• I also help customers who are in the entertainment space such as movie making, animation and VFX artists to be more productive at work. Native cloud services, such as storage are not designed for the use cases of movie makers. I bring cloud to where movie makers are so that they don't have to worry about their assets and just have to focus on making brilliant movies, shows, episodes, and animations.

Jun 2020 – Aug 2021 · 1 yr 2 mos

• I work on Azure Synapse with the key purpose to help industries consolidate their siloed data using industry data models and recognize faster customer value by automating their data pipelines. My involvement in this product is to:
• 1. Automate schema mapping from customer's source data to the industry data models
• 2. AI /ML frameworks and standards that partners could use to integrate seamlessly with Synapse.
• 3. Build authoring experiences to create and modify industry data models for core industries such as retail, oil and gas, financial sector, logistics, agriculture, etc.
• 4. Create an ecosystem of partners who could leverage the data models and build solutions to help our customers get to faster insights.
• https://docs.microsoft.com/en-us/azure/synapse-analytics/database-designer/overview-database-templates

Sep 2016 – Jun 2020 · 3 yrs 9 mos

• I worked as a Product Manager on Azure DevOps formerly known as Team Foundation Server or Visual Studio Team Services. Azure DevOps is also the backbone of Microsoft since we build all our products such as Windows, Azure, Edge, Bing etc using Azure DevOps. The areas that I have owned in Azure DevOps are:
• 1. Planning (Azure Boards)
• Azure Boards helps users to track work with Kanban boards, backlogs, team dashboards and custom reporting. I owned the task board and cards in Azure Boards. Objective | Improve NPS
• 2. Code (Azure Repos)
• Azure Repos is the source control for developers who work hobby project to the world’s largest repository. I was responsible to ensure complete traceability of developer workflow in git w.r.t commits, tags, builds, and pull requests etc. Objective | Increase adoption
• 3. Azure Wiki
• Azure DevOps Wiki helps to create and organise content to learn and collaborate with team members and stakeholders. I was the product manager for Wiki and worked with my team to build it grounds up.
• Objective | Adoption and Engagement of wiki users
• 4. Visual Studio Marketplace
• Built the visual studio marketplace for our partners who can make our product extensible - https://marketplace.visualstudio.com/
• 5. Azure DevOps Search
• Owned the search capability in Azure DevOps to help users find code, work item, packages, wiki pages, and boards in their enterprise. Also, experimented with capabilities such as neural search, instant search, commanding in search, and personalization of search results using AI/ML.

May 2015 – Sep 2016 · 1 yr 4 mos