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I will build custom ai agents, rag pipelines, and llm automation solutions


About this gig
Are you looking to build powerful AI applications, automate complex workflows, or implement intelligent RAG pipelines?
As an AI Software Engineer with hands-on enterprise experience, I specialize in building robust, production-ready AI agents and LLM solutions tailored to your business needs.
What I Offer:
- Custom AI Agents & Multi-Agent Workflows: Agentic automation using LangChain, LangGraph, and n8n with tool-calling capabilities.
- Production-Grade RAG Pipelines: Advanced vector search, chunking, embeddings, and ChromaDB retrieval for accurate document Q&A.
- LLM Integration & REST APIs: Seamless API development using FastAPI/Flask, OpenAI, and custom LLM-as-Judge evaluation frameworks.
- Data & Automation Solutions: Automated pipelines with human-in-the-loop approval gates to minimize errors and save manual effort.
Why Work With Me?
- Proven Track Record: Experience delivering scalable AI models and end-to-end automation pipelines.
- Certified Expert: OCI Generative AI Professional & Stanford ML certified.
- Clean & Maintainable Code: Scalable architecture with full documentation.
Lets turn your AI idea into reality! Send me a message before ordering to discuss your project requirements.
Get to know Yash Jagtap
AI Software Engineer
- FromIndia
- Member sinceJan 2024
- Avg. response time44 days
Languages
Hindi, Marathi, English
My Portfolio
FAQ
What details do I need to provide to get started?
Please provide a brief overview of your project requirements, target output, sample data (if applicable), and any specific tools or APIs (e.g., OpenAI, LangChain, FastAPI) you prefer to use.
Do you offer custom integrations with existing backend applications?
Yes! I can seamlessly integrate AI workflows and RAG pipelines into your existing web, mobile, or backend stack using FastAPI or Flask REST APIs.
Can you help lower AI hallucination and improve model accuracy?
Absolutely. I engineer optimized chunking, embedding, and retrieval strategies for RAG systems, alongside LLM-as-Judge scoring frameworks and human-in-the-loop validation to maximize output accuracy.
Will I receive the complete source code and setup guidance?
Yes, depending on your selected package, all source code, API setup, environment instructions, and clear documentation will be delivered.

