Alain Fovet

Expert in generative AI (RAG, LLM, agents, FDE) and full-stack development — 8 years of experience.

I help companies integrate AI into their business tools reliably and scalably: no hallucinating POCs, but production systems where the LLM handles language and code handles critical calculations.

Recent achievements

Contract analysis RAG platform (B2B purchasing center) — Anti-hallucination hybrid RAG architecture: semantic search on a vector database (Qdrant) for clauses, 100% Python financial calculations. OCR ingestion pipeline → structured LLM extraction → embeddings, Q&A chatbot (LangGraph + text-to-SQL), and automated invoice verification. Python · LangChain · OpenAI · Qdrant ·

AWS serverless.

Large-scale AI document processing pipeline — Serverless chain (Step Functions) classifying and extracting 30,000+ invoices/year via OCR + LLM (AWS Bedrock), with a confidence score driving automation (target 70-80%) vs. human escalation. Node.js · Bedrock · Textract · OpenSearch.

What I do

• Integration of LLMs & RAG systems on private data (semantic search, business chatbots)

• AI POC / MVP and use case validation

• Code audit, refactoring, architecture recommendations (cloud & AI)

• Full-stack front/back development and CI/CD setup

• Cost optimization and data security in AI systems

Stack

AI/LLM: OpenAI, Mistral, LLaMA · LangChain, LlamaIndex · embeddings & semantic search · Qdrant, Pinecone, FAISS, Chroma

Dev: Node.js, Angular, Vue.js, Symfony, Laravel, Python

Data: PostgreSQL, MySQL, MongoDB, Elasticsearch (ELK)

Cloud/DevOps: AWS, GCP, Docker, CI/CD

Collaboration model

I provide technical support, technical leadership, or architectural expertise — for a one-off mission (audit, POC) or as part of an existing team. Full remote, occasional travel possible.