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Gajender Chauhan

@gajenderchauhan

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I build enterprise RAG and multi-agent AI systems on Azure, LangGraph, and FastAPI.

India

Message

What I'm looking for

I'm looking to build enterprise Generative AI and Agentic AI products, especially RAG systems, multi-agent workflows, and scalable cloud-deployed LLM applications.

I'm building enterprise Generative AI and Agentic AI solutions at Tata Consultancy Services, including RAG pipelines and LangGraph-based multi-agent workflows on Azure OpenAI and Azure AI Search.

Previously at Datagrape, I built AI systems that answered employee questions across structured and unstructured data with citations, confidence scores, KPI dashboards, semantic retrieval, and NL-to-SQL capabilities.

I've developed FastAPI backends, Streamlit interfaces, document-ingestion pipelines, and cloud-deployed services using Docker and Azure App Service. My work also includes JWT authentication, role-based access control, audit logging, and request-level tracing.

Before Generative AI, I improved forecasting accuracy by 18% across 50+ datasets at PVH Arvind Fashions and reduced long-horizon forecast error by 22% using deep learning and XGBoost models.

Experience

Work history, roles, and key accomplishments

Current

Gen AI Engineer

Current

Tata Consultancy Services

Jul 2026 - Present (2 months)

Design and develop Generative AI and Agentic AI solutions for enterprise clients, building RAG pipelines and LangGraph-based multi-agent workflows on Azure OpenAI and Azure AI Search. Collaborate with cross-functional teams to translate client requirements into LLM-powered solutions.

Generative AI Agentic AI RAG LangGraph Azure OpenAI Azure AI Search fastAPI Docker Prompt Engineering Fine Tuning

Gen AI Engineer

Datagrape

Dec 2025 - Jun 2026 (6 months)

Built enterprise-grade Generative AI systems answering employee queries over structured and unstructured data using Azure OpenAI, RAG, and NL-to-SQL. Developed multi-agent AI applications orchestrated with LangGraph, integrating MCP tools and vector databases.

Azure OpenAI RAG NL To SQL LangGraph MCP fastAPI Streamlit Docker Azure App Service Azure AI Search JWT RBAC OCR

Junior Data Scientist

PVH Arvind Fashions Pvt. Ltd.

Apr 2024 - Nov 2025 (1 year 7 months)

Developed and deployed end-to-end time-series forecasting models (ARIMA, SARIMA, Prophet), improving forecast accuracy by 18% across 50+ datasets. Implemented deep-learning architectures and gradient-boosted models, reducing long-horizon forecast error by 22%.