Available for AI Architecture & Consulting

Hello, I'm
Devesh Kumar SrivastavaGenAI & LLM Engineer

Senior AI Engineer with 18+ years of enterprise software experience, designing and delivering production-grade Generative AI, Agentic AI, Multi-Agent, and RAG solutions on Azure AI Foundry, LangGraph, LangChain, Python and FastAPI.

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Devesh Kumar Srivastava — GenAI & LLM Engineer
18+
Years
Experience
Stack
RAG · LLM · Azure
18+
Years Experience
4
Enterprise Companies
2K+
Users on AI Platforms
AI
& Cloud Specialist
About Me

A technologist focused on production AI

Devesh Kumar Srivastava is a Senior AI Engineer with 18+ years of enterprise software engineering experience, designing and delivering production-grade Generative AI, Agentic AI, Multi-Agent, and Retrieval-Augmented Generation (RAG) solutions.

He architects scalable AI platforms using Azure AI Foundry, Azure OpenAI, LangGraph, LangChain, Python and FastAPI — building secure, enterprise-grade intelligent systems that combine LLMs, vector search and modern cloud infrastructure to solve complex problems across regulated industries.

Generative AI & LLMs
RAG Systems & Agents
LangChain · LangGraph
Azure & AWS Architecture
Enterprise Full Stack
DevOps & CI/CD
Professional Journey
  1. 2005
    MCA, IGNOU Delhi
    Master of Computer Application — foundation in software engineering.
  2. 2009
    Started at Accenture
    Team Lead — React, Node.js, GraphQL, AWS, Docker & Kubernetes for a leading UK bank.
  3. 2020
    Savills & Magna Consultant
    Solution Architecture — React, TypeScript, Azure, CI/CD DevOps.
  4. 2021
    TCS — Senior AI Engineer
    Architecting Agentic RAG, multi-agent platforms & AI Copilots on Azure AI Foundry.
Experience

18+ years across enterprise & AI

Education
Master of Computer Application
Indira Gandhi National Open University (IGNOU), Delhi, India · 2001 – 2005
In Progress
Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103) and Agentic AI Business Solutions Architect (AB-100).

TCS

Senior Full Stack Engineer — AI & Generative AI
Oct 2021 – Present
  • Architected an Enterprise Agentic RAG Knowledge Platform (DAP) serving 2,000+ users, reducing knowledge discovery time by 70% with source-grounded answers across SharePoint, Databricks, Azure DevOps, SQL Server and Purview.
  • Built an AI-Powered SDLC Engineering Copilot automating architecture recommendations, code generation, PR reviews and testing — cutting repetitive dev effort by 40%.
  • Delivered an Intelligent Customer Feedback & Predictive Analytics Platform that automated 90% of feedback classification and reduced manual analysis by 75%.
  • Designed multi-agent orchestration with LangGraph, LangChain, Azure AI Foundry, Azure OpenAI, Azure AI Search and FastAPI.
Azure AI FoundryAzure OpenAILangGraphLangChainFastAPIReactDatabricksMLflowAzure AI SearchKubernetes

Magna Consultant Limited

Solution Architecture
May 2021 – Jul 2021
  • Designed and developed frontend applications using React.js, Node.js, TypeScript, ES6, HTML5, CSS3 and Material UI.
  • Delivered Azure-hosted solutions with modern component architecture.
React.jsNode.jsTypeScriptAzureMaterial UI

Savills

Solution Architecture
Nov 2020 – Mar 2021
  • Developed the SAI product as a SPA using React.js, Redux, TypeScript, ES6, HTML5, CSS3 and Material UI.
  • Integrated Google Maps services and Azure Functions; implemented CI/CD with Azure DevOps.
  • Designed and built APIs with Node.js, Express and MongoDB.
ReactReduxTypeScriptAzure FunctionsNode.jsMongoDBCI/CD

Accenture

Team Lead — Leading UK Bank (NBS)
Mar 2009 – Nov 2020
  • Developed digital sales channels in Agile using React.js, Redux, JavaScript ES6, HTML5, CSS3, Material UI and MongoDB.
  • Designed and built APIs with Node.js and GraphQL.
  • Configured CI/CD pipelines to deploy applications to AWS EC2 using Docker and Kubernetes.
React.jsReduxNode.jsGraphQLAWS EC2DockerKubernetesMongoDB
Skills

A full-stack toolkit for AI systems

From research-grade agent design to enterprise CI/CD — built and shipped at scale.

Generative AI & LLMs

LLMsAgentic AIMulti-Agent SystemsRAGAdvanced RAGPrompt EngineeringMCPFunction CallingStructured OutputsAI GuardrailsAzure OpenAIGPT-4oClaudeGeminiLlama 3MistralPhiHugging Face

AI Frameworks & ML

LangChainLangGraphLlama IndexCrew AISemantic KernelAutoGenScikit-learnXGBoostTensorFlowPyTorchNLPFine-tuningModel Evaluation

Vector Search & LLMOps

Azure AI SearchPineconeChromaDBFAISSpgvectorHybrid SearchSemantic RankingLangSmithMLflowRagasPromptfooOpenTelemetry

Cloud & DevOps

Azure AI FoundryAzure FunctionsAzure DevOpsDatabricksAzure API ManagementAzure Key VaultDockerKubernetesTerraformGitHub ActionsAzure PipelinesCI/CD

Full Stack & APIs

FastAPINode.jsREST APIsGraphQLWebSocketsReact.jsNext.jsTailwind CSSStreamlitPurview

Architecture & Data

AI Solution ArchitectureMulti-AgentRAGMicroservicesEvent-DrivenDistributed SystemsPostgreSQLSQL ServerMySQLMongoDBRedisAzure Data LakeDelta Lake

Languages

PythonTypeScriptJavaScript (ES6+)SQL

Tools

VS CodePostmanLangSmithStreamlitGitLinux
Services

AI Architecture & Engineering Consulting

AI Architecture Consulting

Design enterprise AI systems, AI platforms, and scalable GenAI solutions.

RAG Solution Development

Build production-grade Retrieval-Augmented Generation systems with evaluation.

Multi-Agent System Design

Design LangGraph and Agentic AI workflows with orchestration & tools.

Enterprise AI Strategy

Help organizations adopt AI securely, responsibly, and effectively.

Full Stack AI Development

Build end-to-end AI-powered applications from interface to model.

Cloud & DevOps Architecture

Design scalable Azure and AWS AI platforms with CI/CD & observability.

Featured Projects

Production AI, shipped at scale

Enterprise Agentic RAG Knowledge Platform (DAP)

Production Agentic RAG serving 2,000+ enterprise users with source-grounded answers across SharePoint, Databricks, Azure DevOps, SQL Server and Purview.

Reduced knowledge discovery time by 70% with secure, citation-backed retrieval at enterprise scale.

LangGraphLangChainAzure AI FoundryAzure OpenAIAzure AI SearchFastAPIDatabricksKubernetes
AI-Powered SDLC Engineering Copilot

Multi-agent copilot automating architecture recommendations, code generation, PR reviews, documentation and testing across delivery teams.

Cut repetitive development effort by 40% and lifted engineering productivity.

LangGraphLangChainAzure OpenAIFastAPIReactAzure DevOps APIsGitHub Actions
Intelligent Customer Feedback & Predictive Analytics

Enterprise AI platform combining GenAI, Agentic AI and ML to classify sentiment, detect product issues and predict churn.

Automated 90% of feedback classification and reduced manual analysis effort by 75%.

LangGraphAzure OpenAIDatabricksMLflowScikit-learnXGBoostAzure AI SearchPower BI
National Grid Energy System Applications

Enterprise full-stack applications powering national grid energy operations at TCS.

Mission-critical delivery for regulated energy infrastructure.

ReactNode.jsFastAPIAzureSQL Server
UK Bank Digital Sales Channels

Agile-delivered digital sales channels for a leading UK bank (NBS) at Accenture, with GraphQL APIs and containerised AWS deployments.

Scalable, cloud-native platform serving millions of banking customers.

React.jsReduxNode.jsGraphQLAWS EC2DockerKubernetes
Architecture Showcase

Reference architectures for enterprise AI

RAG Architecture

Ingestion → Embeddings → Vector store → Retriever → LLM → Grounded answer

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Multi-Agent Architecture

Planner · Researcher · Executor agents orchestrated via LangGraph state machine

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Enterprise AI Reference

Identity, data plane, model gateway, evaluation, and governance layers

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LLM Application Lifecycle

Prompt design → Eval → Deploy → Monitor → Iterate with LangSmith

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AI Observability

Tracing, token cost, hallucination detection, and feedback loops

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Certifications & Learning

Continuous learning, production focus

Azure AI Apps and Agents Developer Associate (AI-103)
Microsoft — In Progress
Agentic AI Business Solutions Architect (AB-100)
Microsoft — In Progress
Master of Computer Application (MCA)
IGNOU, Delhi — 2001–2005
LangChain & LangGraph
Production Multi-Agent Systems
Azure AI Foundry & Azure OpenAI
Enterprise GenAI Platforms
RAG & Advanced RAG
Retrieval, Vector Search & Evaluation
Testimonials

What teams say

"Devesh brings rare combination of enterprise architecture depth and modern AI craft. He shipped our RAG platform end-to-end."
Engineering Director
Global Bank · TCS Programme
"His grasp of LangGraph and multi-agent design unblocked a six-month roadmap in two sprints."
Head of AI Platform
Financial Services
"A trusted senior engineer who speaks both boardroom and codebase fluently."
VP Engineering
Retail Enterprise
Contact

Let's build AI solutions together

Available for AI architecture engagements, technical leadership, and enterprise consulting.

Devesh Kumar Srivastava
GenAI & LLM Engineer · Senior Full Stack Developer
devesh.kr.sri@gmail.com(+44) 7918 353342
Swindon, United Kingdom
linkedin.com/in/devesh2
Email Book a call