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Rajat Khandelwal

Experience Page

Rajat Khandelwal

Software | Engineer

Tata Consultancy Services Ltd

Lead AI Engineer - Agentic AI Workflow for Infra Operations (ITIS)

August 2025 - Present

  • Designed and implemented an agentic AI ecosystem across heatmap, incident, patch compliance, and drive cleanup workflows.
  • Automated daily, weekly, and monthly audit-ready reporting pipelines using LangGraph, Python, FPDF, and Azure Blob Storage.
  • Built resilient orchestration with schema-driven outputs, chunking and retry logic, and spawned long-running task handling.
  • Implemented blob leasing and locking with idempotent execution to prevent race conditions and duplicate report generation.
  • Reduced manual Infra Ops effort by about 70-80% while improving stability, governance, and triage standardization.
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LangGraphLangChainPythonAzure Blob StorageStreamlitPlotlyFPDFGitHub Actions
Tata Consultancy Services Ltd

Lead Developer - User Analysis Project (TCS Innovista)

November 2024 - August 2025

  • Built an end-to-end AI automation pipeline for ITSM user analysis from file upload to dashboard insights.
  • Implemented Azure Blob event-driven workflows with Azure Functions for scalable asynchronous processing.
  • Delivered NLP-powered ticket classification, sentiment analysis, and summarization using HuggingFace models.
  • Processed high-volume ticket datasets (~100K records) to cut manual analysis timelines from weeks to automated runs.
  • Enabled automation opportunity discovery and recurring incident pattern detection with Cosmos DB + Power BI analytics.
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PythonAzure Blob StorageAzure FunctionsCosmos DBHuggingFacePower BIAKSDocker
Tata Consultancy Services Ltd

Developer / Core Chatbot Developer - OTK Chatbot Implementation (Outokumpu)

December 2021 - October 2024

  • Developed a multilingual enterprise chatbot with GenAI and RAG-based retrieval capabilities.
  • Integrated OpenAI APIs, vector embeddings, and LangChain workflows for knowledge-driven responses and prompt automation.
  • Built Node.js chatbot backend with Python Flask ML services in a microservice architecture.
  • Delivered enterprise integrations across ServiceNow, Genesys Chat, Twilio, Redis, and Microsoft Adaptive Cards.
  • Owned Azure deployment and CI/CD execution with strong reliability outcomes including zero SLA breaches.
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Yellow.aiNode.jsPythonLangChainOpenAI APIsAzure DevOpsServiceNowRedis
Pepcoding Education Private Limited

Internship Trainee - Assistant Tutor

May 2021 - December 2021

  • Handled course structure for Data Structures & Algorithms in Java and Web applications using MERN stack.
  • Managed LeetCode Blind 75 curriculum covering arrays, linked lists, graphs, and trees with structured problem sets.
  • Designed course structure and curated practice questions aligned with industry interview patterns.
  • Provided one-on-one doubt resolution sessions for students, improving concept clarity and problem-solving skills.
  • Assisted in curriculum development and content creation for DSA and full-stack web development courses.
JavaDSAMERN StackLeetCodeTeachingCurriculum Design
Skill-Lync

Web Intern - Design and Simulation

May 2020 - March 2021

  • Applied multibody dynamics, computational fluid dynamics (CFD), and finite element analysis (FEA) concepts using engineering software.
  • Implemented data parsing, analysis, and visualization pipelines in Python and MATLAB for simulation results.
  • Integrated simulation results into software workflows with emphasis on automation and data processing.
  • Developed scripts for extracting, transforming, and visualizing engineering simulation data.
  • Gained hands-on experience with engineering simulation tools and computational analysis methodologies.
PythonMATLABCFDFEAData AnalysisSimulationVisualization
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