With over 11 years in the software industry, I design and deliver high-performance, production-grade systems at scale. I currently architect systems serving 3 million daily active users, leading 20+ microservices across 5 distributed teams on AWS.

I specialize in Agentic AI and multi-agent orchestration systems — building production-grade RAG pipelines, integrating LLMs, and deploying ML models for fraud detection, recommendation engines, and personalized search. My deep expertise spans AWS (6x certified including SA Professional & DevOps Professional), GCP, Kubernetes (CKA + CKAD), and Terraform (certified).

On the backend, I architect end-to-end cloud-native solutions across multi-cloud environments, with deep hands-on experience in API design (REST, GraphQL, gRPC), microservices architecture, event-driven systems (Kafka, RabbitMQ, EventBridge), and container orchestration with Docker and Kubernetes. On the data layer, I bring extensive experience across relational and NoSQL databases — including PostgreSQL, DynamoDB, MongoDB, Cassandra, Neptune, and Redis — ensuring optimal data modeling, performance, and scalability for complex distributed systems.

Key results: Reduced cloud operational costs by 30%. Improved system performance by 40%. Led teams of up to 12 engineers. Directed end-to-end cloud migrations from legacy monoliths to microservices architecture.

I write about architecture and AI on my technical blog (3,600+ followers), covering MCP servers, Agentic AI systems, and system design at scale.

Open to Principal Solution Architecture or Principal Backend Engineering remote roles globally.

Cloud & Architecture	DevOps & Infrastructure

AI & Machine Learning

• Production-grade Agentic AI and Multi-Agent Orchestration systems on AWS Bedrock AgentCore
• RAG pipelines scaling to millions of users with AWS-native infrastructure
• ML models for fraud detection, recommendation engines, and personalized search
• MCP Servers for enterprise AI agent tooling and external service integration

Cloud Architecture & System Design

• End-to-end cloud migration architectures — moving legacy monoliths to distributed microservices on AWS and GCP
• Multi-cloud infrastructure with Terraform, Kubernetes, and GitOps (ArgoCD) for repeatable, auditable deployments
• Real-time data pipelines and event-driven architectures at scale using Kinesis, MSK, EventBridge, and Pub/Sub
• Security-first architectures — VPC design, IAM policies, encryption strategies, and compliance frameworks
• Cost optimization strategies reducing cloud spend by 30%+ through right-sizing, serverless adoption, and pipeline redesign
• Data Mesh architectures enabling domain-owned data products across distributed teams

• Build Production Ready MCP Server From Scratch on AWS Bedrock AgentCore
• Build a Production-Ready AI Agent From Scratch — With LangGraph & AWS AgentCore
• Context Engineering: Why Your AI Agent Is Only as Smart as Its Context
• System Design: Personalized Search with ML on AWS
• System Design: Video Recommendations System with ML on AWS
• Microservices Pattern: Distributed Transactions (SAGA)
• Notification System Architecture With AWS