Helping build Personal SuperIntelligence for billions of users across the world.

Helping build the infrastructure to build and scale Generative AI models.

Helping scale Meta AI Models 100x on PyTorch to deliver improved Business Metrics (User Engagement, Ads Score) by re-architecting the entire stack - Hardware (GPU/ASIC), Software (Model Authoring, Feature Engineering, Data Preprocessing, Distributed Training, Distributed Inference) and Developer Tools.

Delivering ML Infrastructure and Platform Services for all of Meta's ML Engineers across Personalization and Content Understanding use cases.

• Delivered a secure, privacy compliant, scalable and efficient ML Compute Platform for 3,000+ Alexa Scientists and Engineers with access to Alexa restricted and critical data.

• Delivered Alexa AI Science innovation in Privacy-Preserving Distributed Training, Semi Supervised Learning, Incremental Learning and Federated Learning.

Launched Availability Zones platform for 100+ services in 10 Azure regions - Central US, East US, East US 2, West US 2, France Central, West Europe, North Europe, UK South, Japan East and Southeast Asia.