I will develop advanced python ai models, automation scripts, web and desktop apps
Fullstack Engineer: Angular, React, Node, Golang, PHP
About this Gig
Build a production-ready AI system using LangGraph, RAG, embeddings, and vector databases.
I develop AI orchestration pipelines that retrieve from your data, automate workflows, and handle real-world use cases.
What I deliver
- LangGraph-based multi-agent workflows (routing, reasoning, tool usage)
- RAG pipeline (chunking, embeddings, retrieval, grounded responses)
- Vector DB integration (Chroma / Qdrant / Pinecone / FAISS / Weaviate)
- LLM integration (OpenAI / Anthropic / Gemini / Azure / local models)
- FastAPI backend with clean, scalable structure
- Tool calling (search, classify, summarize, custom APIs)
- Memory + context handling (optional)
- Guardrails (prompt injection protection, filtering, controlled outputs)
- Logging + basic evaluation (latency, cost, response quality)
- Docker-ready delivery + deployment guidance
Use cases
- AI customer support assistants
- Internal knowledge base chatbots (docs, SOPs, HR)
- Sales assistants trained on product data
- Workflow automation (tickets, emails, CRM ops)
- Multi-agent research and summarization systems
- Send your use-case + data sources to get started.
Super Flexible in all Stuff :)
Checkout my Portfolio Projects!
More questions? Hit the Contact Seller
Frameworks:
Scikit-learn
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DeepPy
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Google ML Kit
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SimpleCV
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Keras
Data type:
Code
Programming language:
Python
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R
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SQL
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Java
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Other
My Portfolio
FAQ
Can you use my data (PDFs, websites, database)?
I can integrate PDFs, websites, APIs, or databases into a RAG pipeline for accurate responses.
Will the AI give reliable answers or hallucinate?
I implement RAG + guardrails so responses are grounded in your data with optional citations.
Can you integrate this into my existing backend?
I can plug it into your current system (FastAPI, Node, etc.) or build a clean standalone API.
Do you provide deployment support?
I deliver Docker-ready code and can guide deployment on AWS, VPS, or your preferred platform.
Can this scale for real users?
The system is designed for production with logging, optimization, and scalable architecture.
