I will create custom ai agents rag chatbots and multi agent systems

M
munsifmuzammir3
M
munsifmuzammir3
Munsif Muzammir

About this gig

Need a production-ready AI agent or RAG chatbot that actually works on your data not a basic ChatGPT wrapper?


I build custom AI agents, multi-agent systems, and RAG pipelines using LangChain, LangGraph, and modern LLMs. With 4+ years of hands-on experience delivering real production systems (including multi-agent gym chatbots, government AI platforms, and healthcare AI solutions), I focus on accuracy, scalability, and clean code you can own and extend.


What I build:

Custom RAG chatbots trained on your PDFs, websites, databases, or knowledge base

Multi-agent systems with tool calling, memory, and complex workflows (LangGraph)

AI agents that can book, search, calculate, summarize, and take actions

LLM fine-tuning (LoRA / QLoRA) and open-source model optimization

Semantic search, hybrid retrieval, and vector database setup

Full deployment on AWS, GCP, or Azure (Docker, FastAPI, Cloud Run, etc.)


Tech stack I use daily:

LangChain LangGraph OpenAI / Claude / Gemini / open-source LLMs

Vector DBs (pgvector, Pinecone, Chroma, AlloyDB)

FastAPI Docker Redis MCP AWS / GCP / Azure


You get

Clean, well-documented Python code

Production-ready architecture (not a demo)

Source code ownership

Get to know Munsif Muzammir

Munsif Muzammir

AI Engineer

  • FromSri Lanka
  • Member sinceMar 2022
  • Avg. response time1 hour
  • Languages

    English, Tamil, Sinhala
Machine Learning Engineer with 4+ years of experience designing, developing, and deploying ML and Generative AI solutions. Skilled in Python, R, SQL, TensorFlow, PyTorch, and Scikit-learn. Experienced in data preprocessing, feature engineering, deep learning, LLMs, fine-tuning, prompt optimization, and RAG. Proven experience deploying ML/GenAI solutions across AWS, Azure, and GCP, with a strong focus on MLOps, model optimization, and delivering real-world impact.

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