Headline

Cloud Platform Architect @ AWS | Cloud Infrastructure and Agentic AI architecture | AI-Driven SDLC (AI-DLC) | Kubernetes at Scale

About

I build platforms that make engineers faster — and infrastructure that makes AI possible. With 19+ years in Cloud, DevOps and Platform Engineering, I design and deliver large-scale infrastructure platforms that reduce toil, accelerate developer velocity and bring order to complex cloud environments. At AWS Professional Services, I have led transformations that moved the needle — GitOps driven Kubernetes operations across 150+ EKS clusters, Internal Developer Platforms that cut deployment times by 60% and MLflow to SageMaker migration standardising MLOps for 80+ ML teams. 87% reduction in deployment cycle time. MTTD from 45 minutes to 3 minutes. Agentic AI & Next-Gen Infrastructure: As Agentic workloads transition to production, I architect the underlying fabric required for autonomous agents. Hands-on experience integrating Model Context Protocol (MCP) servers into platform toolchains, building secure tool-calling execution environments and enabling LLM orchestration frameworks to safely interact with enterprise infrastructure at scale. I actively use Claude Code, Kiro and Codex in my engineering workflow and have hands-on experience integrating MCP servers into platform toolchains. Speaker at APGI, CHARUSAT and InfraCloud on Platform Engineering, MLOps and DevSecOps. CKA · AWS Certified Security – Specialty · AWS Certified DevOps Engineer - Professional · AWS Certified AI Practitioner · AWS Certified Solutions Architect – Associate · HashiCorp Certified – Terraform Associate 📩 Let's connect if you're solving hard infrastructure problems.

Location

Bengaluru

AI stack

anthropic apis

claude code

github copilot

kiro

langchain

langsmith

Work experience

Cloud Platform Architect at Amazon Web Services (AWS), Apr 2026 - Present · 6 mos, Bengaluru, Leading Platform Engineering initiatives at scale, architecting self-service Internal Developer Platforms (IDP) using Backstage/CNOE that reduced infrastructure provisioning from days to minutes and accelerated application deployment by 60%. Driving MLOps modernisation by orchestrating migration from self-managed MLflow to Amazon SageMaker MLflow, reducing model experiment setup time by 30% and enabling 80+ ML teams to operate on a standardised platform. Spearheading GitOps driven Kubernetes operations across 150+ EKS clusters, achieving 87% reduction in deployment cycle time through ArgoCD based automation at enterprise scale.

Lead Consultant at Amazon Web Services (AWS), Jul 2022 - Present · 4 yrs 3 mos, Bengaluru, Orchestrated migration of self-managed MLflow to Amazon SageMaker MLflow, optimising MLOps workflows and reducing model experiment setup time by 30%. Built and delivered a self-service Developer Platform that accelerated application deployment by 60% and reduced infrastructure provisioning from days to minutes. Designed standardised, reusable DevOps pipeline templates resulting in 25–30% reduction in release cycle time across multiple customer engagements. Led containerisation of 12 applications from legacy infrastructure to Kubernetes based environments, improving scalability, performance and cost efficiency. Partnered with enterprise customers to architect scalable cloud platforms, improving developer productivity and operational efficiency through Platform Engineering best practices.

Staff Software Engineer at Synopsys Inc, May 2022 - Jun 2022 · 2 mos, Bengaluru, Karnataka, India

DevOps Architect at Capgemini, Aug 2014 - May 2022 · 7 yrs 10 mos, Bangalore, + Implemented and maintained CI/CD systems leading to reduce time to market + Guided customers in architecting, developing and modernising applications that can fully leverage the Cloud + Built and maintained scaled infrastructure for Production, QA and development environments + Established Mobile, Salesforce, Hybris, Adobe & Mulesoft DevOps practices and solutions using multiple platform specific tools + Hands-on experience with DevOps tools like Git, Jenkins, Docker, Kubernetes, JIRA, SFDX, Copado, AutoRABIT to automate and scale DevOps processes. + DevOps Architect responsible for overseeing all technical aspects of development and operation. Subject matter expert for initiatives to establish DevOps organization. + Key responsibilities also includes DevOps assessment for clients, mapping of the AS-IS and target platforms, design DevOps solutions to bridge the gaps.

Mobile Technical Architect at Capgemini, Jan 2014 - Aug 2016 · 2 yrs 8 mos, Bengaluru Area, India, 1. Designing overall technical architecture for the mobile application 2. Streamlining technical requirements for the implementation of the mobile solution 3. Preparing technical solution and architecture artifacts, documents

Senior Consultant at Capgemini, Aug 2012 - Aug 2014 · 2 yrs 1 mo, Bangalore

Associate Consultant - Engineering at GlobalLogic, Jul 2010 - Aug 2012 · 2 yrs 2 mos, Bangalore, India

Senior Software Engineer at SourceBits Technologies Ltd., Bangalore, Sep 2008 - Jul 2010 · 1 yr 11 mos, Bangalore

iOS Developer at IndiaNIC Infotech Ltd, Feb 2008 - Sep 2008 · 7 mo, Ahmedabad

Software Engineer at Avinashi Systems, Aug 2007 - Jan 2008 · 5 mo, Surat

Education

Bachelor of Engineering, Computer Engineering, South Gujarat University

Diploma Computer Engineering, AVPTI Rajkot

Public links

github: https://github.com/acbhatt12