Leading a team which is responsible for delivering reliable ML(GPUs and TPUs), Compute and Storage to the largest DC footprint in the world.

Leading digital transformation for Supply Chain Management. Working with senior business and technology

leaders to align on strategic roadmap and capability enhancement. Driving vendor/software selection and

streamlining processes and tech stack. My team owns the following domains; Data Services and

Data warehouse, Third party/Affiliate risk management, Strategic Sourcing and Procure to pay.

Manager Home Graph team at Google/Nest. Our team is working to create a seamless experience for google services across devices for Home. We store the devices, home and user relationship and features/access on top of that.

Some of the projects my team has delivered/working on:

* Enable more device types(phone/cars/wears etc) ,

* Enable new features( groups, automation, presence)

* Matter enablement

* Making a unified IoT graph for the whole Google.

We are working on democratizing AI/ML at JP Morgan & Chase. We own the core AI platform . We enable our colleagues to securely experiment/iterate and productize various use cases using AI/ML. We are also building the next generation AI marketplace to enable practitioners to collaborate on various AI/ML artifacts/best practices and services.

Some of things my team delivered:

* Scalable/secure multi region Jupyter notebook for data scientists.

* Automated EMR cluster launch/monitoring and scaling.

* Integrating with third parties to bring AI/ML tools for labeling, bias detection, versioning of data/model and continuous monitoring.

* Integration to get open source models reviewed and integrated in the ecosystem.

Leading FX and platform initiative at Baton.

Managing end to end from customer interaction to day to day operation of one of the biggest FX Settlement platform.

Key Deliverables

* Design and implementation of multi node/multi region FX platform before time and exceeding customer expectation.

* DR strategy and implementation along with periodic testing.

* Database and schema migration for production data.

* Used Streams, Stream analytics and Lambda Architecture.

* Event driven architecture to make system idempotent and fault tolerant.

* Orchestration layer to easily trace business flows.

* Defined best practices, monitoring / observability and run book for production support and meeting mandated KPIs.

* Hiring and managing team.

* Participated and help in IT/Vendor decision making.

Interest Area:

* Blockchain (Hyperledger/R3 Corda)

* Distributed Ledger

* Architect, build practical distributed system and consensus mechanism.

* Observability/Service Mesh

* Kubernetes.

* Lambda and steam processing/Analytics.

* Microservices, fault tolerance, Idempotent system.