I build AI systems that work in production — not demos.
Custom RAG pipelines, intent-routing agents, and workflow
automations for startups and scale-ups across EU and UK.
Full-stack developer with 4 years of experience shipping production-grade LLM-powered systems, automation workflows, and complex platforms — from architecture through to live deployment. Deep expertise in n8n, Bubble.io, RAG pipelines, and LLM integration.
Experienced working directly with founders and enterprise clients across full product cycles, with full ownership and no hand-holding.
Delivered 8+ production systems including a multi-step RAG agent with 30,000+ vector rows, a multi-tenant B2B ESG platform serving 27+ enterprise clients, and two-sided marketplace platforms.
I work async, deliver on time, and flag problems before
they become yours.
Skills
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Industry Experience
- Router node classifies intent: discovery / general Q&A /
recommendation — and structures chat history before routing - Three separate passes handle each intent type independently
- RAG layer uses semantic retrieval + custom relevance scoring
- strict filtering (not a simple vector search)
- Parallel sub-workflows surface upsell products simultaneously
- Validation agent checks output, corrects hallucinations,
returns clean structured response
Production RAG System with Intent Routing & Custom Architecture
Built a multi-step AI agent for a Belgian retail client —
not a generic LLM wrapper, but custom architecture optimised
for low latency and high accuracy.
How it works:
Why it’s not a standard RAG:
Most RAG systems connect an LLM to a vector DB and call it done.
This system has custom scoring logic, intent-aware routing, and
a validation layer — built for production reliability,
not demos.
Stack: n8n, Supabase, custom scripts / webhook architecture,
semantic retrieval pipeline
⚠️ Client is under NDA
- Full responsive + mobile implementation from scratch
- Admin panel development
- Custom API endpoint integration
- WU optimization & performance improvements
- Bug fixing + feature delivery before public beta
Public Civic Tech Platform — Belgium Elections 2024
Built responsive desktop + mobile web app helping Belgian voters
compare candidates across 10+ political parties ahead of the
2024 regional, federal, and European elections.
My scope:
Stack: Bubble.io, Custom APIs, JavaScript
🔗 [Live platform](https://www.twine.net/signin
- Custom calendar + booking flow (JavaScript)
- Stripe integration with iDEAL (Dutch payment method)
- Real-time in-app chat + notification system
- Google Maps API with custom JS map layer
- Availability management for service providers
- Admin panel + privacy rules
Localized Service Marketplace — Full Cycle Delivery
Built a dual-sided marketplace connecting families
with cleaning professionals across the Netherlands. Delivered
full MVP (from discovery to first user) in under 6 weeks.
Key features I built:
Stack: Bubble.io, Stripe, Google Maps API, Loops, JavaScript
⭐ 5.0 on Upwork — “Tsimafei exceeded my expectations.
He knows exactly what needs to be done and implements features
that enhance the success of your app. He is exceptional.”
🔗 [Live app](https://www.twine.net/signin
- Grew platform from 0 → 27+ paying corporate clients
- Managed 500,000+ live database entries at 3s load speed
- Completed 300+ tasks / 3,500+ hours on this project
- Led feature development across the full product cycle
- AI document extraction & custom request processing
- Knowledge base with multi-file upload + real-time storage monitoring
- Team management: roles, permissions, workspaces, chat
- Auth0, OpenAI, Stripe, Google Cloud, SendGrid integrations and much more
- Version control, branch management, deployment
ESG Compliance Platform with AI Automation
Built and scaled a B2B SaaS platform that automates complex ESG
questionnaires (EcoVadis, CSRD) using AI — reducing completion
time by 70%.
My scope:
Key systems I built:
Stack: Bubble.io, OpenAI API, Stripe, Auth0, Google Cloud,
Zapier, SendGrid, LokaliseJS
🔗 [Live platform](https://www.twine.net/signin
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