---
title: "Kamlesh Rameshbhai Patel - Cloud Architect in Greater Bengaluru Area | Tal"
description: "Meet Kamlesh Rameshbhai Patel, AWS Cloud Architect | Cloud Migration Specialist | AWS | FinOps | Gen AI, MCP, AI Agent | IAC & Terraform | Kubernetes | System Design | DevSecOps | MLOps | AIOps | App Modernization | .NET, Microservices & Serverless based in Greater Bengaluru Area. AI stack includes..."
image: "https://tal.club/meet/kamlesh-rameshbhai-patel/share-image"
---

# Kamlesh Rameshbhai Patel on Tal

## Headline

AWS Cloud Architect \| Cloud Migration Specialist \| AWS \| FinOps \| Gen AI, MCP, AI Agent \| IAC &amp; Terraform \| Kubernetes \| System Design \| DevSecOps \| MLOps \| AIOps \| App Modernization \| \.NET, Microservices &amp; Serverless

## About

Experienced in enterprise digital transformation with a focus on large scale AI driven cloud migration and modernization\. Designing secure, scalable and cost efficient cloud architectures on AWS and Azure, enabling multi cloud platforms that align technology capabilities with business outcomes\. PROFILE SUMMARY ❖ AWS Solutions Architect with 19\+ years of experience designing cloud native platforms, SaaS systems, microservices, serverless and AI enabled architectures at enterprise scale\. Led modernization and migration of more than 700 applications to AWS while implementing platform engineering, DevOps automation and AI assisted engineering workflows\. ❖ Work closely with product managers, development teams, IaC and DevOps teams, security teams and senior enterprise architects to translate business requirements into scalable and resilient cloud architectures\. ❖ Experienced in enterprise discovery, right sizing and migration planning using AI and ML driven tools such as Device42\. Strong hands on experience building cloud platform foundations using AWS Organizations, landing zones and Terraform based infrastructure automation\. Recently worked on MCP server architectures and AI agent orchestration for automation\. ARCHITECTURE IMPACT HIGHLIGHTS ❖ Led migration and modernization of more than 1000 workloads to AWS for a large financial services client\. ❖ Improved deployment speed by 30% to 40% using cloud native architecture and automation\. ❖ Reduced infrastructure cost by up to 30% using FinOps and AI based right sizing models\. ❖ Used Device42 AI and ML capabilities for discovery, dependency mapping and right sizing of enterprise workloads\. ❖ Applied ML driven workload analysis to classify applications and recommend migration strategies aligned with the 6R cloud migration framework\. Used CAST AI to reduce Kubernetes \(K8s\) costs by 25%\. ❖ Implemented AI assisted engineering workflows using tools such as GitHub Copilot and Claude\.

## Location

Greater Bengaluru Area

## AI stack

cursor

github copilot

langchain

mcp

## Work experience

Cloud Architect at GSaralCloud, Jul 2024 \- Present · 1 yr 10 mos, Bangalore Urban, Karnataka, India, ❖ Architected repeatable cloud platform architectures and migration blueprints for SMBs, accelerating cloud adoption by 25%\. ❖ Working on AI driven monolithic to microservice migration factory using MCP server and AI agent orchestration, in order to reduce development effort by 30%\. ❖ Leveraged AI tools like Claude and GitHub Copilot to enhance architecture documentation and boost engineering productivity by 15%\. ❖ Developed reusable Terraform modules and landing zones, standardizing cloud deployments and reducing provisioning time by 25%\.

Cloud Architect at GE Healthcare, Feb 2024 \- Jun 2024 · 5 mos, Bangalore Urban, Karnataka, India, ❖ Architected and deployed scalable, cloud\-native SaaS solutions on AWS, supporting healthcare data platforms processing patient records and enabling analytics that reduced reporting time by 25%\. ❖ Developed and trained machine learning models using AWS SageMaker and containerized microservices, integrating inference APIs with Amazon API Gateway to serve traffic to 100\+ hospitals across USA\. Used Amazon bedrock to integrate LLM\. ❖ Improved Kubernetes observability, scalability and cost efficiency using CAST AI resulting in a 15% reduction in cloud spend\. ❖ Collaborated with product and engineering leaders to define platform architecture decisions, ensuring alignment with business objectives and technical feasibility\.

Cloud Architecture/ Sr\. Consultant at SoftwareONE, Apr 2023 \- Dec 2023 · 9 mos, Bangalore Urban, Karnataka, India, ❖ Spearheaded enterprise discovery and portfolio assessment using Device42 AI tools, enabling 15% overall cost reduction through ML\-driven workload classification and right\-sizing\. ❖ Accelerated cloud migration strategy planning by applying AI\-assisted analysis, reducing assessment time by up to 30%\. ❖ Delivered AI enabled automation for cloud migration readiness assessments which reduced delivery manpower by about 75 percent under the AWS MAP methodology\. ❖ Designed AWS migration architectures and modernization roadmaps for enterprise clients, reducing infrastructure costs by an average of 15% and accelerating deployment times by 2x within 5 months\. ❖ Reduced cloud spend by up to 10% by implementing strategic FinOps practices and cost governance models\. ❖ Guided engineering teams implementing Terraform based infrastructure automation\.

AWS Architect at Virtusa, Jun 2021 \- Apr 2023 · 1 yr 11 mos, Remote, ❖ Spearheaded the enterprise cloud migration of over 1000 workloads to AWS for a financial services platform, enhancing scalability and reducing operational costs\. ❖ Designed secure and highly available AWS architectures and achieving 90% uptime for critical applications\. ❖ Modernized monolithic applications into microservices containers and serverless architectures and improving system scalability to handle 5000\+ daily active users\. ❖ Established DevSecOps pipelines, boosting code coverage to 80% and leveraging Terraform IaC to cut deployment time by 50%\. ❖ Designed and implemented AWS Organizations structure and landing zones for a multi\-account strategy, supporting over 10 AWS accounts and enabling centralized security and governance for a 40% reduction in compliance risks\. ❖ Collaborated with development teams, IaC engineers, security teams and enterprise architecture groups to design scalable AWS landing zones and platform standards\.

Technical Lead at Dell, Jul 2019 \- Apr 2021 · 1 yr 10 mos, Bengaluru, Karnataka, India, Redesigned monolithic enterprise applications into microservices, achieving a 25% improvement in scalability and reducing migration costs by $15K USD over a 2\-year period\. ❖ Automated manual processes within Dell Sales Application using Saga, NServiceBus, and microservices communication frameworks, reducing processing time by 20% and enabling the handling of 400 additional transactions per day\. ❖ Managed and deployed applications across 4 Kubernetes clusters \(2 cloud, 2 local\) using Terraform and PowerShell scripts, reducing deployment time by 40% and improving resource utilization by 80%\. ❖ Led build management, release management, and pre\-production deployment activities for enterprise solutions\.

## Education

Honours Diploma in Network\-Centered Computing, Computer Engineering, NIIT Institute

Bachelor of Commerce \- BCom, Accounting, Gujarat University

[View the original profile](https://tal.club/meet/kamlesh-rameshbhai-patel)

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