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chandur rpaCR
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chandur rpa

@chandurrpa

I build agentic generative AI solutions—RAG, LLM engineering, and autonomous workflows on Azure.

India
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What I'm looking for

I’m looking to build enterprise RAG and agentic AI systems end-to-end on Azure—multi-agent workflows, grounded retrieval, FastAPI services, and AKS deployments—while balancing reliability with cost using caching and human-in-the-loop controls.

I’m a Generative AI & Agentic AI Specialist with 5.9 years of IT experience, including 3 years focused on Generative AI, LLM engineering, and Agentic AI solution development. I specialize in designing enterprise RAG systems and autonomous LLM-powered applications that deliver grounded, context-aware results.

I’ve built multi-agent AI workflows with Supervisor, Validation, and Execution agents to orchestrate enterprise processes and improve operational efficiency. My work includes end-to-end RAG pipelines—document ingestion, vector indexing, semantic retrieval, and LLM-based response generation—using LangChain, LangGraph, and Azure OpenAI (GPT-4o).

I’m strong in semantic retrieval and document intelligence, including processing both native and scanned documents with Azure AI Document Intelligence. I also focus on reliability and cost/performance by implementing Redis Cache and Semantic Cache, plus human-in-the-loop approval workflows for low-confidence outcomes.

Beyond GenAI, I bring 2.8 years of enterprise RPA experience, with business process automation expertise across SAP and Salesforce. I deploy cloud-native AI solutions on Azure Kubernetes Service (AKS) and expose capabilities through REST APIs (FastAPI), so solutions are production-ready—not just prototypes.

Experience

Work history, roles, and key accomplishments

Teleperformance logoTE
Current

Agentic AI Developer

Feb 2025 - Present (1 year 5 months)

Designed and developed enterprise RAG and Agentic AI solutions using LangChain, LangGraph, and Azure OpenAI to automate document-centric business workflows. Built multi-agent architectures and end-to-end RAG pipelines with Azure AI Search, Azure AI Document Intelligence, and deployed containerized services on Azure Kubernetes Service (AKS).

Wipro logoWI

Senior Software Engineer

Apr 2023 - Oct 2024 (1 year 6 months)

Developed LangChain-based document processing pipelines to extract and validate enterprise business documents and automate business rule validation and exception handling. Built RAG-based retrieval workflows for contextual information to support downstream SAP processing and developed REST API integrations between Salesforce and SAP.

Conduent logoCO

Application Support Engineer II

Jun 2020 - Oct 2022 (2 years 4 months)

Developed and supported enterprise automation solutions using UiPath REFramework for finance, reporting, and data migration processes. Built reusable automation components with exception handling and logging, and automated SAP and Salesforce business processes using UI automation along with REST APIs, RFC, and Excel automation.

Education

Degrees, certifications, and relevant coursework

Jawaharlal Nehru Technological University Kakinada (JNTUK) logoJJ

Jawaharlal Nehru Technological University Kakinada (JNTUK)

Bachelor of Technology, Electronics & Communication Engineering

Completed a B.Tech in Electronics & Communication Engineering at JNTUK.

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