You will get structured data extracted from your PDFs, invoices and forms as clean JSON
Project details
You will get your documents turned into clean, validated JSON - reliably, even when the input is messy. I extract from PDFs, scans, images and forms (invoices, receipts, CVs, contracts, or your own schema), validate every result against a strict schema, and use a self-correcting repair loop so you never get half-broken data. On higher tiers it runs as a batch pipeline or an API. I am an AI engineer focused on the hard part: making LLM output deterministic and trustworthy. You get the code, an accuracy report, docs and a walkthrough. Clear communication, fast delivery, and a live portfolio of production AI projects available on request.
AI Development Type
Knowledge RepresentationAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$150
|
Standard
$400
|
Advanced
$900
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | ||
Detailed Code Comments | - | ||
Knowledge Graph | - | - | - |
Model Documentation | - | ||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$75 - $300Frequently asked questions
About Paul-Emile
AI Agent Developer | RAG Chatbots, Workflow Automation & AI APIs
Evian-les-Bains, France - 8:55 pm local time
I'm Paul-Émile, an AI Agent Developer & Automation Engineer. I've designed and deployed 5 live production AI systems you can try right now: a RAG chatbot with grounded, source-cited answers; a schema-validated document-extraction pipeline; an LLM-evaluation framework with AI judges and CI gating; an autonomous multi-step agent; and a production FastAPI + Next.js AI API with auth, rate-limiting and multi-provider fallback. I send working links, not promises.
What I build for you:
• RAG chatbots & knowledge assistants over your own docs/data — accurate and source-cited
• AI agents & LLM workflow automation that remove manual, repetitive work
• Document & data extraction pipelines with structured, validated output
• Production AI APIs & integrations (Claude, OpenAI, Gemini, LangChain, Python, Next.js)
• LLM evaluation & quality gates so your AI stays reliable as it scales
How I work: I scope the outcome first, build in tight iterations with demos you can test, and ship something measurable — faster turnaround, lower cost per task, or fewer manual hours. Clear async communication and clean, maintainable code throughout. I also secure deployments against API-cost abuse, so what I ship is safe to put in front of real users.
I focus exclusively on AI/LLM engineering, so you get a specialist who's already solved the hard parts: retrieval quality, hallucination control, evaluation, and production reliability.
If you're building with AI and want it done right the first time, send me a message with your goal and I'll tell you exactly how I'd approach it.
Steps for completing your project
After purchasing the project, send requirements so Paul-Emile can start the project.
Delivery time starts when Paul-Emile receives requirements from you.
Paul-Emile works on your project following the steps below.
Revisions may occur after the delivery date.
Define the schema
We agree on the exact fields and types you need out of every document.
Build & test extraction
I build the pipeline with OCR and vision plus a validate-repair loop, tested on your samples.