Dr. Rahul Sharad Gaikwad
Dr. Rahul Gaikwad, Staff Resident Solutions Architect at HashiCorp, an IBM Company
Pune, India
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Dr. Rahul Gaikwad is a Staff Resident Solutions Architect at HashiCorp, an IBM Company, and an APJC HashiCorp Ambassador. A passionate technologist with deep expertise in Generative AI and DevOps, he partners with enterprise leaders across APAC to accelerate multi-cloud transformation through the HashiCorp Cloud Operating Model. Dr. Rahul earned his Ph.D. in AIOps (2022) and is the recipient of several prestigious honors including the Indian Achievers’ Award (2024), Best Ph.D. Thesis Award (2024), Research Scholar of the Year (2023), and Young Researcher Award (2022). His work focuses on enabling organizations to drive developer velocity, governance, and innovation through automation and scalable cloud practices.
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Improve operational performance by enabling Amazon DevOps Guru across multiple AWS Regions, accounts
This solution enables the Amazon DevOps Guru service across multiple AWS Regions, accounts, and organizational units (OUs) by using AWS CDK in TypeScript. You can use AWS CDK stacks to deploy AWS CloudFormation StackSets from the administrator (primary) AWS account.
CI/CD pipeline for hybrid workloads on Amazon ECS Anywhere by using AWS CDK and GitLab
This solution is designed to help those who use on-premises infrastructure to run container applications and use GitLab to manage the application code base. Customer can manage those workloads by using AWS Cloud services, without disturbing their existing, on-premises infrastructure.
Streamline your machine learning model deployment lifecycle with Terraform
Building and deploying custom ML models is often slow and error-prone, causing months-long delays. These challenges hinder customer innovation and responsiveness. In this session, we'll show how to use HashiCorp Terraform AWS and Cloud Control API (AWSCC) Provider to streamline and automate model preparation and deployment on Amazon Bedrock. This solution enables engineers to create environments and data scientists to develop custom models in under 30 minutes and accelerating model deployment lifecycle.
How to enhance architecture resiliency and deploy infrastructure with Amazon Q and Terraform
With the scale and complexity of modern architectures, building resilient and reliable infrastructure is a top challenge customers face in their cloud adoption journey. Generative AI offers a transformational approach to building resilient cloud architectures by providing failure mode and effects analysis (FMEA) , resiliency testing, catching bugs earlier in the development process, and more. In this session, learn how Amazon Q Developer helps customers built fault-tolerant infrastructure, develop custom chaos scripts, resilient infrastructure recommendations using infrastructure as code (IaC), and more, all without leaving the development environment.
Dr. Rahul Sharad Gaikwad
Dr. Rahul Gaikwad, Staff Resident Solutions Architect at HashiCorp, an IBM Company
Pune, India
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