AI Developer with Python expertise

- Design and implement a self-hosted LLM architecture using Ollama, selecting and assessing open-weight models based on their effectiveness, speed, and resource requirements. - Develop a production-ready RAG pipeline utilizing LangChain or LlamaIndex to handle a diverse collection of documents, incorporating techniques for chunking, embedding, and retrieval. - Establish and maintain a local vector database in conjunction with PostgreSQL for structured data management, as well as local object storage solutions like MinIO. - Create a FastAPI backend that provides endpoints for data retrieval, summarization, extraction, and reporting, ensuring rigorous validation and logging of inputs. - Implement authentication and authorization protocols using JWT and role-based access control, integrating with Microsoft 365 / Entra ID where needed for multi-tenant architecture. - Deploy the system on Windows Server, configuring services with NSSM and implementing Nginx as a reverse proxy with proper security settings. - Design workflows for field extraction and document classification that include confidence scoring and exception handling, ensuring low-confidence results are flagged for human review. - Create evaluation tools for prompts, retrievers, and overall accuracy, maintaining them as models and document content evolve. - Enforce data protection standards throughout the project lifecycle, including encryption protocols, least-privilege access, secret management, and thorough data flow documentation.