Open to high-impact AI opportunities

Engineering AI systems that work at enterprise scale.

Senior AI Engineer and GenAI/RAG architect with 12+ years of experience turning complex enterprise knowledge into secure, intelligent and production-ready platforms.

12+
Years in engineering
100K+
Global users served
50%
Faster support response
Professional monochrome portrait of Narendra Kumar
Building nowAgentic AI · RAG · MCP

01 / Profile

I connect AI ambition with engineering reality.

My work sits at the intersection of generative AI, enterprise search and cloud-native product engineering. I architect intelligent systems that connect trusted business data to language models through scalable retrieval, secure APIs and thoughtful user experiences.

As a technical leader, I guide architecture, mentor cross-functional teams and take platforms from first principles to reliable production operations.

Based in Noida, IndiaEnterprise AI & cloud systemsTechnical leadership

02 / Expertise

From model to measurable value.

A full-stack perspective for building AI products that are useful, secure and maintainable.

01

GenAI & RAG Architecture

Grounded LLM experiences with hybrid retrieval, embeddings, evaluation and enterprise knowledge integration.

  • Azure OpenAI & LLMs
  • RAG & semantic search
  • Prompt engineering
02

Agents & MCP Ecosystems

Interoperable AI agents and MCP servers that securely connect models, tools and product workflows.

  • Model Context Protocol
  • AI agents & orchestration
  • Tool and API integration
03

Cloud AI Platforms

Scalable, observable architectures across Azure and AWS with APIs, containers and delivery automation.

  • Azure AI & Cognitive Search
  • Docker & Kubernetes
  • CI/CD & cloud automation
04

Engineering Leadership

Architecture ownership, technical decision-making and mentoring that align teams around outcomes.

  • System design
  • Cross-functional leadership
  • Performance & reliability

03 / Selected impact

Systems designed for the real world.

Representative programs and measurable outcomes from enterprise engineering.

Enterprise AI01

Hybrid RAG Search Platform

Modernized enterprise discovery by replacing legacy Elasticsearch with Azure Cognitive Search, embeddings and hybrid vector-keyword retrieval for a global product ecosystem.

Azure OpenAIVector SearchRAGAzure AI Search
100K+global users supported
Applied GenAI02

Intelligent Support Assistant

Integrated GPT-4o and lightweight LLaMA models with enterprise support knowledge to deliver faster, context-aware answers inside client applications.

GPT-4oLLaMAAzure AIEnterprise Data
50%faster response time
Agentic Systems03

Cross-Product MCP Foundation

Built Model Context Protocol servers to enable governed communication and interoperability between AI agents across multiple enterprise products and platforms.

MCPAI AgentsAPIsSecure Integration
interoperable workflows

04 / Journey

Built across every layer.

Progression from hands-on web engineering to enterprise AI architecture and leadership.

2017 — Present

Lead Software Engineer

ION Group

AI · Cloud · Architecture

Architecting GenAI, RAG and cloud-native solutions, leading technical strategy, modernizing enterprise platforms and mentoring engineering teams.

2015 — 2017

Technical Lead

Karbonn Mobiles

Web · eCommerce · PWA

Led architecture and delivery for performant eCommerce experiences, mobile-first platforms, security and team development.

2014 — 2015

Senior Software Engineer

FashionAndYou

Frontend · CMS · Performance

Modernized large web applications, improved search visibility and optimized delivery using caching, CDNs and frontend migration.

2013 — 2014

Developer

SkySoft IT Services

Full Stack · eCommerce

Developed responsive commerce applications, custom CMS modules and dynamic customer-facing interfaces.

05 / Technology landscape

Azure OpenAIRAGAI AgentsMCPVector SearchReactTypeScriptNode.jsAzureAWSDockerKubernetesPostgreSQLRedis

06 / Let's build

Have an AI challenge worth solving?

Let’s discuss an enterprise AI platform, a production RAG system or the architecture behind your next intelligent product.