Nidhin kumar

Nidhin kumar

Hyderabad, India

Nidhin kumar

AI /ML ARCHITECT
I’m an AI/ML, GenAI, Cloud and Solution Architect with 17+ years of IT experience in enterprise architecture, cloud platforms, DevOps, Kubernetes, automation and AI-driven solutions. I help companies convert business ideas and complex technical requirements into scalable, secure and production-ready solutions.

My recent focus is on Generative AI, Enterprise RAG, AI Agents and Multi-Agent platforms. I have experience designing AI solutions using LLMs, LangChain, LangGraph, MCP, agent-to-agent integration, AWS Bedrock, FastAPI, OpenSearch, Qdrant, PostgreSQL, Redis and Kubernetes. I work on the complete AI solution lifecycle, including requirement analysis, architecture design, PoC development, AI orchestration, RAG and retrieval strategy, AI memory, guardrails, accuracy evaluation, cloud deployment, security, observability and production readiness.

One of my key projects involved designing an enterprise multi-agent AI support platform. The solution allowed users to interact with an AI assistant through Microsoft Teams, retrieve technical information and automate Jira support workflows. I worked on the overall solution architecture, LangGraph-based agent orchestration, MCP integrations, AI memory architecture, RAG strategy, AWS Bedrock integration, FastAPI services, RabbitMQ-based messaging, Redis, PostgreSQL, OpenSearch and Kubernetes deployment. I also focused on AI accuracy, evaluation, monitoring, scalability and production architecture.

I have also designed an enterprise RAG and knowledge assistant platform using vector and hybrid search. The solution was designed to retrieve enterprise documents based on user access permissions and generate context-aware answers using LLMs. The architecture included FastAPI, Qdrant and OpenSearch for retrieval, PostgreSQL for application and metadata storage, Redis for caching and conversation context, and Kubernetes for scalable deployment. Security, hallucination control, observability and enterprise scalability were important parts of the architecture.

Another project I worked on was an AI Architecture Agent, a multi-agent platform designed to convert business requirements into enterprise architecture recommendations. The solution uses specialized AI agents for requirement analysis, research, solution architecture, cloud, security, DevOps, cost, compliance, data architecture and architecture validation. A central AI orchestrator coordinates these agents and produces architecture recommendations, risk information, ADR inputs and technical documentation.

Along with AI architecture, I have strong experience in Cloud, DevOps and Platform Engineering. I have worked with AWS, Azure and Google Cloud, Docker, Kubernetes, EKS, AKS, GKE, Helm, Argo CD, Terraform, Ansible, Jenkins, GitHub Actions and GitLab CI. I have designed CI/CD platforms, Infrastructure as Code solutions, Kubernetes platforms, cloud migration architectures, DevSecOps pipelines and enterprise observability solutions.

My security experience includes integrating SAST, DAST, container scanning and dependency security into CI/CD workflows using tools such as SonarQube, Trivy, Coverity, Black Duck and Prisma Cloud. For observability and production monitoring, I have experience with Prometheus, Grafana, Datadog, Dynatrace and ELK.

I don't focus only on building a quick AI demo. My approach is to understand the actual business problem, identify functional and non-functional requirements, design the right architecture, select suitable technologies and build a solution with security, scalability, cost, monitoring, AI accuracy, guardrails and long-term maintainability in mind.

I can help clients with AI and GenAI architecture, Enterprise RAG solutions, AI Agents and Multi-Agent systems, AI chatbots, enterprise knowledge assistants, MCP integrations, AI workflow automation, AWS Bedrock solutions, AI platform architecture, MLOps, Cloud architecture, Kubernetes platforms, DevOps automation, DevSecOps and enterprise solution architecture.

If you have an AI idea, an existing PoC that needs to become production-ready, or a complex Cloud and DevOps platform requirement, I can help design the architecture, build the solution and create a clear path from idea to production.

Working hours

  • Monday:08h00 To 18h00
  • Tuesday:08h00 To 18h00
  • Wednesday:08h00 To 18h00
  • Thursday:08h00 To 18h00
  • Friday:08h00 To 18h00
  • Saturday:Not available
  • Sunday:Not available
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