Abhishek Shukla
Working as Enterprise Architect in IBM , A Microsoft Certified Azure architect
New Delhi, India
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I am a Cloud Advisory Architect, Enterprise Architect, and FinOps Consultant at IBM India, with extensive experience in cloud architecture, application modernization, and cloud adoption.
In my role as a Cloud Advisory Architect, I help organizations and customers accelerate their adoption of Microsoft Azure and transform their IT environments into cloud-ready platforms. My responsibilities include conducting Proofs of Concept (POCs), evaluating emerging technologies, supporting RFPs and technical proposals, and designing secure, scalable, and cost-effective solutions aligned with business requirements.
I specialize in translating business requirements into enterprise and cloud architectures, with a strong focus on Azure, security, modernization, scalability, and cost optimization. I also work closely with organizations to identify opportunities for FinOps and cloud cost optimization, helping them maximize the business value of their cloud investments.
Core Technical Expertise
Microsoft Azure – Cloud Architecture, Application Modernization, Azure Services, Well-Architected Solutions
Enterprise & Solution Architecture – Architecture Design, Technology Evaluation, POCs, RFP Solutions
FinOps & Cloud Cost Optimization – Cloud Cost Management, Optimization Strategies, Cloud Economics
Microsoft .NET – .NET Application Development and Modernization
Secure Application Development – Application Security, Authentication and Authorization
Identity & Security – OAuth 2.0, OpenID Connect
Microservices Architecture – Distributed Systems and Cloud-Native Applications
Cloud Development – Designing and developing scalable, secure, and resilient cloud solutions
My focus is on helping organizations modernize their technology landscape, adopt Azure effectively, build secure cloud-native applications, and achieve measurable business value from their cloud investments.
Area of Expertise
Topics
MLOPS : way to manage your machine learning models
This session is all about the life cycle management of Machine learning models aka DevOps for machine learning.
Use AutoML to train your models
AutoML enables developers with limited machine learning expertise to train high-quality models specific to their business needs.
In this session, I will demonstrate that How Azure machine learning studio can help to use Auto ML to train and deploy the machine learning models.
How to build High available solution using Microsoft Azure
Designing a solution for high availability is always a challenge for Architects and developers. You need a consider lot of factors (like servers, clusters, infrastructures) and challenges associated with them.
In this presentation, we will discuss how Microsoft Azure can help us to create high scalable solutions.
Event Driven Architecture using Azure Event Grid
An event-driven architecture uses events to trigger and communicate between decoupled services and is common in modern applications built with microservices.
In this session, I present that what an event driven architecture and its benefits, I will also demonstrate how azure event grid can be used to create modern event driven applications.
Building High available solution using Microsoft Azure
Designing a solution for high availability is always a challenge for Architects and developers. You need a consider lot of factors (like servers, clusters, infrastructures) and challenges associated with them.
In this presentation, we will discuss how Microsoft
Best practices to secure your workload and Data on Microsoft Azure
Security is the biggest concerns for organization when it come to use public clouds for their workloads and data.
In this presentation, we will walkthrough how Microsoft Azure can help us to address security related concerns and how to apply best practices to secure workloads and data.
Optimize your cloud cost by using finops practices.
In this session, we will discuss about finops implementation and best practices of the finops to control and optimize the cloud expense.
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