Freelancer profile translated to English.
Back to original languageAbout Teina
I build AI systems that run in production, not demos that break.
My specialty: transforming your documents and business tools into reliable, sourced AI assistants — capable of answering accurately based on your internal data and acting within your processes (RAG, agents, automation).
What sets me apart: I deliver reliability when data is messy and answers need to be sourced. Strict grounding, citations, reliability assessment — no hallucinations.
Recent achievements (real clients, deployed):
• Tender analysis assistant for construction — sourced Q&A + inconsistency detection between lots (RAG, pgvector, Claude)
• Technician application with AI documentation — answers on manuals and technical procedures (RAG)
• OCR document processing — extraction and matching of supplier invoices
• Real-time multi-store analytics + management SaaS with access control (RLS)
Stack: TypeScript, Python, Next.js, Supabase / PostgreSQL + pgvector, Claude / LLM, n8n.
How we work together:
1. Document AI Audit (~1 day) — I map out a process, estimate ROI and feasibility.
2. Business assistant prototype (~1 week) — on your real data, sourced answers, reliability assessment.
3. Production agent (3 to 6 weeks) — permissions, logs, monitoring, actions via your business tools.
French
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- Teinaotea TeinauriSelf-employedJanuary 2025 - Today (1 year and 7 months)Toulouse, France
AI Engineer, RAG agents & automations for SMEs
I transform SMEs' documents and business tools into reliable, sourced AI assistants and automate their processes. Systems that run in production, not mockups.- Construction / Engineering office – Tender analysis assistant: sourced answers on tender documents + detection of inconsistencies between lots (which no generic tool does). RAG, pgvector, Claude, citations.
- Technical services – Field application with document AI: sourced answers on manuals and procedures, automatic classification. RAG.
- Industrial distribution – PDF Upload → AI OCR → automatic matching of quotes/orders. 239 companies, real-time dashboard.
- Automotive distributor – Complete ERP migration: 738 clients, 21,000 invoices, 1,480 products imported to cloud CRM.
- Event agency – Prospecting pipeline: AI qualification → CRM → email sequences. 150-200 qualified leads/day.
- Wellness center – 9 multi-step communication workflows (email/SMS, from D-15 to post-stay).
My method:Audit - mapping of the process, data feasibility, ROIPrototype on your real data, sourced answers, feasibility assessmentProduction, permissions, logs, monitoring; your team is autonomous after deliveryStack: RAG · pgvector · Claude / LLM · embeddings · OCR · Python · Next.js · TypeScript · Supabase / PostgreSQL · n8n - Les Comptoirs du MondeForklift driverLOGISTICS AND SUPPLY CHAINAugust 2025 - February 2026 (6 months)Toulouse, FranceForklift driver at Comptoirs du Monde. My task was to handle pallets at heights over 6m.
Recommendations
Be the first to recommend Teina
Help this freelancer shine by sharing your experience working together.
These freelancer profiles also match your criteria
Agatha Frydrych
Backend Java Software Engineer
4.7
(3)
2
Baptiste Duhen
Fullstack developer
4.6
(4)
5
Amed Hamou
Senior Lead Developer
4
(2)
7
Audrey Champion
Web developer
4.3
(3)
4