10/03/2026 updated
100 % available
Technical Architect | AWS, Azure, AI/GenAI, Kubernetes & Cloud Modernization
Noida, India
Only remote
B.Tech, Electronics & Communication Engineering, C.T.I.E.M.T, Punjab Technical University, 2011About me
I design cloud and AI platforms, then stay through production. 15+ years on AWS and Azure across finance, healthcare, and aviation: hybrid RAG, agents with human approval, Kubernetes, and Terraform. AWS Certified Solutions Architect.
AI AgentsGenAIBedrockLangChainAmazon Elastic Compute CloudMicrosoft AzureClient Server ModelsCloud EngineeringSoftware ArchitectureTechnology ArchitectureMulti-Agent SystemsIT ArchitectureCloud TechnologiesAzure AKS3-tier Architectures
Cloud Architecture (AWS & Azure)
Deep expertise in designing cloud-native, distributed microservices and production AI platforms across AWS (EKS, Bedrock, Lambda, API Gateway, OpenSearch, S3, CloudFront, Glue, Route 53, Terraform) and Azure (AKS, Container Apps, Azure OpenAI, Functions, APIM, Azure SQL, Blob Storage, Service Bus). Proficiency in infrastructure as code using Terraform and zero-downtime CI/CD deployments.
Generative AI & Agentic AI Architecture
Specialist in enterprise B2B Generative and Agentic AI, including hybrid RAG, GraphRAG, LLM applications, and workflow automation using LangChain, LangGraph, Strands, MCP, Amazon Bedrock, and OpenAI. Experience routing requests to investigation agents with human approval before sensitive actions.
Solution Architecture & Technical Leadership
15+ years of experience translating complex enterprise requirements into scalable, secure architectures across Financial Regulatory Compliance, Insurance, Healthcare (HEDIS), and Travel & Aviation domains. Experienced in technical strategy, architectural assessments, POC development, stakeholder alignment, and pre-sales.
Microservices & Distributed Systems
Extensive background in designing microservices and distributed systems using event-driven architecture, API and integration architecture, and serverless patterns on cloud-native platforms.
DevOps, CI/CD & Infrastructure as Code
Hands-on experience with DevOps practices, CI/CD pipelines, blue/green deployments, GitHub Actions, Helm, Docker, Kubernetes, and Terraform for infrastructure automation and zero-downtime releases.
Application Development
Proficiency in Python, FastAPI, .NET Core, C#, Node.js, React, Angular, and TypeScript for building enterprise-grade applications and APIs.
Data & Platform Engineering
Experience with SQL Server, PostgreSQL, MongoDB, Redis, Neo4j, Kafka, Kubernetes, and high-volume ETL pipelines using AWS Glue, OpenSearch (vector and BM25), and DynamoDB-to-OpenSearch ingestion.
Security, Resilience & High Availability
Knowledge of security best practices including role-based access, data isolation, Bedrock guardrails, Secrets Manager, IAM, SQS, and designing for high availability, disaster recovery, and compliance.
Deep expertise in designing cloud-native, distributed microservices and production AI platforms across AWS (EKS, Bedrock, Lambda, API Gateway, OpenSearch, S3, CloudFront, Glue, Route 53, Terraform) and Azure (AKS, Container Apps, Azure OpenAI, Functions, APIM, Azure SQL, Blob Storage, Service Bus). Proficiency in infrastructure as code using Terraform and zero-downtime CI/CD deployments.
Generative AI & Agentic AI Architecture
Specialist in enterprise B2B Generative and Agentic AI, including hybrid RAG, GraphRAG, LLM applications, and workflow automation using LangChain, LangGraph, Strands, MCP, Amazon Bedrock, and OpenAI. Experience routing requests to investigation agents with human approval before sensitive actions.
Solution Architecture & Technical Leadership
15+ years of experience translating complex enterprise requirements into scalable, secure architectures across Financial Regulatory Compliance, Insurance, Healthcare (HEDIS), and Travel & Aviation domains. Experienced in technical strategy, architectural assessments, POC development, stakeholder alignment, and pre-sales.
Microservices & Distributed Systems
Extensive background in designing microservices and distributed systems using event-driven architecture, API and integration architecture, and serverless patterns on cloud-native platforms.
DevOps, CI/CD & Infrastructure as Code
Hands-on experience with DevOps practices, CI/CD pipelines, blue/green deployments, GitHub Actions, Helm, Docker, Kubernetes, and Terraform for infrastructure automation and zero-downtime releases.
Application Development
Proficiency in Python, FastAPI, .NET Core, C#, Node.js, React, Angular, and TypeScript for building enterprise-grade applications and APIs.
Data & Platform Engineering
Experience with SQL Server, PostgreSQL, MongoDB, Redis, Neo4j, Kafka, Kubernetes, and high-volume ETL pipelines using AWS Glue, OpenSearch (vector and BM25), and DynamoDB-to-OpenSearch ingestion.
Security, Resilience & High Availability
Knowledge of security best practices including role-based access, data isolation, Bedrock guardrails, Secrets Manager, IAM, SQS, and designing for high availability, disaster recovery, and compliance.
Experience
Professional experience10+ years
Freelancer since2011
Languages
EnglishFluentHindiNative speaker
Project history
Serving client LPL Financial. Architected an advisor-in-the-loop Reg BI compliance flow on AWS using Bedrock, Strands, OpenSearch, Lambda, and API Gateway with hybrid BM25 and vector retrieval behind CloudFront. Also architected LPL's platform for ingesting, storing, indexing, and retrieving financial documents across S3 (WORM), Box, OpenText Documentum, and Info Archive with one OpenSearch layer, and provisioned .NET services on EKS behind a private API Gateway with Aurora PostgreSQL, DynamoDB, S3, Secrets Manager, and Glue migration pipelines.
Led multiple projects including FINTECH AI (B2B Finance and Accounting) with multi-tenant AI product on hybrid RAG and agentic workflows using SQS, ECS Fargate, OpenSearch, and Neo4j; NEXORA (AI-Driven Software Delivery and Operations) on AWS using Bedrock, Strands, MCP, Kubernetes, and Terraform; and FMECA (Manufacturing Quality) architecting the Azure quality platform on .NET microservices with AI roadmap for predictive maintenance using Python and scikit-learn.
Led AWS architecture for the corporate loan lifecycle using API Gateway, Lambda, DynamoDB, and DocumentDB with React and Angular clients. Owned infrastructure as code and blue/green deployment for zero-downtime compliance releases.