Principal Engineer @ Walmart Labs
Working as Principal Engineer (Lead Architect) at MINT- Market Intelligence Org of Walmart Labs.
Working with ECommerce teams to bridge the market gaps aggressively.
Leading the architecture of the Product Matching Platform to find similar products across Walmart catalog and competitors’ catalogs to drive pricing and assortment intelligence initiatives.
Experienced in architecting, designing and developing applications in Public/Private/Hybrid Cloud environments.
Experienced with designing and building applications using Micro-services together with Container and Serverless technologies and highly available, large-scale enterprise applications.
Area of Expertise
Benefit of building event driven applications has been so evident, multiple teams within your organisation are already embracing Kafka.
Expanding adoption of kafka is exciting, however, are you ready to safely and efficiently manage Kafka Clusters in a your organisation.
In this talk, I will discuss about 50 recipes for robust and efficient Kafka utilization which will includes but not limited to kafka security, kafka scaling , optimising kafka cost , kafka monitoring, kafka logs, kafka storage and high availability of kafka clusters.
As a result of attending this session you will be better prepared to consider and implement kafka based event driven development approach and by the end of session you must also be aware about common challenges in event driven architecture and how to resolve them efficiently using Kafka.
You will learn about Azure Cosmos DB which is Microsoft's globally distributed, multi-model database.
You will notice that just with the click of a button, Azure Cosmos DB enables you to elastically and independently scale throughput and storage across any number of Azure's geographic regions.
Whether you train a model from scratch or are able to use one that’s already trained, having access to a library of models in a standard interchange format will be a great productivity boost for Windows developers. Welcome to Machine Learning Studio, the Azure Machine Learning solution you have grown to love. Machine Learning Studio is a powerfully simple browser-based, visual drag-and-drop authoring environment where no coding is necessary. Go from idea to deployment in a matter of clicks.
If you are new to Machine Learning and have a strong wish to learn and master Azure ML and Win ML , this session is for you.
Micro-services and Docker has rapidly become the industry standard for containerizing applications, and are a terrific option for both greenfield .NET Core and legacy .NET Framework workloads.
In this session we will see how to leverage container technology to foster greater agility, efficiency, and security for enterprise organisations.
Come and see how to robustly move your applications to Docker containers which provides greater agility, efficiency, and the ability to migrate to modern infrastructure. Armed with this container knowledge In one hour we will be looking at many proven best practices and recipes to build rock-solid Kubernetes workloads.
You will leave this session with the knowledge and ability to design and develop your own Micro-services running on Kubernetes.
Benefit of running applications on Containers has been so evident, multiple teams within your organisation are now also interested in embracing Containers.
Expanding adoption of containers is exciting, however, are you ready to safely and efficiently manage containers in a your organisation.
In this talk, I will discuss about 50 recipes for robust and efficient container based design which will includes but not limited to container security, container scaling , optimising container cost , container monitoring, container logging, container storage and container availability.
As a result of attending this session you will be better prepared to consider and implement container based development approach and by the end of session you must also be aware about common challenges in container based development and how to resolve them efficiently.
Principal Engineer @ Walmart Labs