Open to opportunities

Dilip Kumar Badiganti

@dilipkumarbadiganti

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AI Engineer building production LLM agents, RAG pipelines, and multi-agent orchestration for enterprise data workflows.

India

Message

What I'm looking for

I’m looking to join a product-focused team building real AI systems—shipping reliable agentic features, improving RAG accuracy, and owning production back-end services end to end, with strong engineering standards.

I’m an AI Engineer with 2 years of production experience building multi-agent systems, LLM-powered back-ends, and RAG pipelines at enterprise scale. At Accenture, I designed and shipped a LangGraph-based multi-agent platform that automated SQL migration and ETL workflows, cutting manual effort by 10x across internal teams.

I build production-grade agent orchestration using Python, LangChain, LangGraph, and AutoGen, with robust fallback logic across multi-step pipelines. I also develop REST APIs with FastAPI and Pydantic and integrate RAG with vector-embedded schema context to improve accuracy for domain-specific SQL generation.

I’m especially excited by product teams that want to ship real AI systems—reliably grounding agents with retrieval and scaling execution with Docker, CI/CD, and AWS. I’ve also validated my architecture skills through the Claude Certified Architect - Foundations (CCA-F) certification.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer - Agentic Systems

Current

Accenture

May 2024 - Present (2 years 1 month)

Architected a LangGraph-based multi-agent platform that automated ETL and SQL workflow generation, reducing manual workflow creation time by ~10x. Built 6+ specialized agents and production FastAPI/REST services integrated with RAG/vector-embedded schema context, deployed with Docker and CI/CD on AWS.