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Rajat Khandelwal

About

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Rajat Khandelwal

He/Him · AI Engineer | MERN Stack Developer | Azure Cloud & DevOps | Generative AI & LLM Workflows | Python & Machine Learning

Delhi, India · Tata Consultancy Services · Govt. Engineering College Bikaner

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Professional Summary

I am a Lead AI Engineer passionate about building scalable, intelligent systems that bridge research and production. My expertise lies in architecting and optimizing LLM workflows using LangChain, LangGraph, LlamaIndex, and Autogen, and deploying conversational/agentic AI systems powered by Generative AI.

I deliver end-to-end enterprise solutions from preprocessing and model workflows to API deployment, Azure cloud pipelines, and production monitoring. Alongside AI, I bring strong full-stack MERN and cloud-native DevOps execution to ensure solutions are both technically robust and business-aligned.

Open To Work

Full Stack EngineerWeb DeveloperBack End DeveloperArtificial Intelligence EngineerGenerative AI Engineer

Contact Info

Email: rajatkhandelwal191@gmail.com

Location: Delhi, India

GitHub: github.com/rajatkhandelwal191LinkedIn: linkedin.com/in/rajatkhandelwal27

Core Skills

Generative AILLM WorkflowsLangChainLangGraphLlamaIndexAutogenAzure AKSAzure FunctionsAzure Web AppsDockerKubernetesMERN StackReactNode.jsPythonMachine LearningSemantic SearchVector Databases

Experience Highlights

AI Engineer, Tata Consultancy Services

Aug 2025 - Present · Noida · Hybrid

  • Leading LLM workflow architecture using LangChain, LangGraph, LlamaIndex, and Agentic AI patterns.
  • Built conversational and autonomous AI systems with semantic retrieval and custom embeddings.
  • Drove production-grade optimization for AI pipelines and deployment workflows.

System Engineer, Tata Consultancy Services

Dec 2022 - Aug 2025 · Noida · Hybrid

  • Designed end-to-end Azure pipelines with Web Apps, Blob Storage, Functions, AKS, and Power BI analytics.
  • Built summarization, sentiment, and entity extraction solutions using Python + BART + NLP pipelines.
  • Led backend architecture, DevOps, cost optimization, and client-facing solution planning.

Earlier Roles & Internships

2019 - 2022 · Delhi / Gurugram / Remote

  • System Engineer Trainee at TCS with backend and React-based development responsibilities.
  • Pepcoding internship handling DSA + MERN learning structure and practical delivery.
  • Railways and Skill-Lync internships involving simulation pipelines, analytics, and software workflows.