Working across multiple teams for

• Recommendation Systems Infrastructure that powers Discovery in Facebook Home Feed, Reels, In-Feed Recommendations and Instagram Reels. Recommendation systems infra includes retrieval and ranking systems powered by AI/ML.

• ML Freshness

• Recommendation systems Scale & Reliability

• Next generation ML Recommendations

Working across the company (with colleagues from engineering and non-engineering functions) on

• Short form video platform for Facebook and Instagram.

• Video in Metaverse related products - Oculus, Smart Glasses, etc.

Hired and coached a team of technical product and program managers (managers and ICs) that lead the inception to launch of an Edge + Cloud Azure PaaS product focused on live video analytics and cloud-based video surveillance (https://azure.microsoft.com/en-us/blog/introducing-live-video-analytics-on-iot-edge-now-in-preview/).

Product was targeted for Azure developers looking to utilize the video signal from their existing surveillance cameras to extract business insights using their own AI and business logic, on a compute device in their own environment. In other words, the product enabled developers to utilize IP cameras as an IoT device in their IoT applications built with Azure IoT.

My work included

• Working with representatives from partner teams (Cognitive Services, Dynamics, IoT, Storage, Edge Compute) to build a joint strategy for Edge AI workloads with video driven workloads as a priority. Representing Azure Video Analytics platform in periodic strategy reviews with leadership.

• High priority customer engagements across a variety of industries (retail, aviation, industrial, etc.). Engagements involved working with technical and non-technical customer staff to understand their business and technical needs and defining product roadmap based on that.

• Technical program management support for engineering

• Working with engineering to define product architecture and ship product updates

• Partnership with non-engineering teams (business development, business planning, marketing, field, etc.) to take the product from inception to launch.

Technical product and program management for two core Azure products - Azure Media Analytics and Video Indexer (http://video.ai). Both of these products enabled customers to upload their videos to Azure and utilize Microsoft provided AI (speech-to-text, face detection, object detection, brand detection, etc.) to extract business insights. I represented the products at multiple industry events such as Microsoft Build, NAB, IBC, IFSEC, Digital Matters, etc. Video Indexer has won multiple industry awards and it's AI capabilities have enabled many customers improve business productivity.

My work included

• Working with partner teams (Cognitive Services, Storage, Research) to build product strategy and conducting reviews with leadership on a periodic basis.

• Working with customers on technical requirements articulation for engineering

• Technical program management support for engineering execution

• Working with engineering to ship product updates

• Working with colleagues from non-engineering functions - evangelists, legal, business development, and marketing

https://azure.microsoft.com/en-us/blog/introducing-video-indexer-a-cloud-service-to-unlock-insights-from-your-videos/

https://azure.microsoft.com/en-us/blog/introducing-azure-media-analytics/

Technical product and program manager for Azure Media Services - one of the early Azure PaaS (targeted for customers looking to build online video solutions without building the video infrastructure themselves).

My work included

• Technical program management support for engineering

• Working with engineering to finalize technical architecture

• Working with business development to define the business model and working with engineering to implement and operationalize the model

• Working with Azure compliance and certification team to get Azure Media Services certified for ISO, SOC, FedRamp, MPAA, CDSA, and several other industry certification standards.

• Working with prioritized customers (in partnership with Azure Storage, Compute, Networking, etc.) to onboard them to Azure

• Working with marketing to prepare the GTM materials for product launch

• Working with several industry partners such as Digital Rapids, Aspera etc. to help bring their technologies to the market as part of the Azure Media Services platform.

https://azure.microsoft.com/en-us/products/media-services/