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$
USD
I will build secure azure ai and rag data extraction pipelines
Lupu Andrei
About this gig
Stop risking your enterprise data with public LLMs and hallucinating chatbots.
I am an AI Solutions Architect specializing in secure, deterministic AI engines using Azure OpenAI and advanced RAG (Retrieval-Augmented Generation) architectures. I build AI systems for highly regulated industries (MedTech, Pharma, Finance) where hallucinations are unacceptable and data privacy is mandatory.
What I build:
- Custom RAG Pipelines: High-speed semantic search using Vector Databases (ChromaDB, Pinecone, etc.).
- Secure Integrations: Private Azure OpenAI deployments (GPT, Mistral, Claude) with zero data leakage.
- Deterministic Rule Engines: I force generative AI to follow strict "IF-THEN" business rules, outputting validated JSON data.
- Backend APIs: Robust Python (FastAPI) backends ready to connect to your frontend.
Tech Stack: Python, FastAPI, Azure AI, LangChain/LlamaIndex, Vector DBs, TypeScript/Angular.
Whether you need to extract structured data from thousands of PDFs or build a contextual AI assistant, I deliver production-ready code.
Message me before ordering so we can discuss your technical requirements!
Get to know Lupu Andrei
Lupu Andrei
Founder
- FromRomania
- Member sinceApr 2026
- Avg. response time2 hours
Languages
Romanian, English
AI Architect & Founder specialized in Enterprise-grade solutions. I help businesses bridge the gap between unstructured data and actionable insights using Azure OpenAI and Semantic AI.
My core expertise is building RAG systems (Retrieval-Augmented Generation) and Automated Compliance Engines (MDR/AI Act). I don't just write code; I design intelligent logic that follows strict rules (If-Then Semantic Engines). If you need an expert who understands both the technical side (Python/FastAPI/Azure) and the high-stakes regulatory landscape (MedTech/Pharma), let's talk.
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FAQ
Will my enterprise data be used to train public AI models?
No. I strictly use private Azure OpenAI deployments. Your data remains completely within your secure tenant, ensuring 100% privacy and zero data leakage. It is never used to train public models.
What technologies do you use for the backend and RAG pipeline?
I build scalable backends using Python and FastAPI. For the AI engine, I integrate Azure OpenAI, LangChain or LlamaIndex, and high-speed Vector Databases like ChromaDB or Pinecone.
What exactly do I receive at the end of the project?
You will receive production-ready, fully documented source code (Python/FastAPI), secure API endpoints ready to connect to your frontend UI, and a clear system architecture diagram.
