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Timofey BorovskyTB

Timofey Borovsky

AI & Automation Engineer / Low-Code Engineer

€390/day
Lodz, PL
3-7 years

Average response time: 1 hour

About Timofey

Full-stack engineer with 4 years taking loosely-defined product ideas to live, scalable systems for founders and enterprise clients — across AI/LLM systems, low-code product builds, and event-driven automation.


I own the full cycle: requirements, data model, UI, workflows, payments, AI layers, and post-launch monitoring.


I architect multi-tenant SaaS with data isolation and RBAC, build multi-step RAG and agent pipelines with custom evaluation harnesses, orchestrate automation in n8n, integrate Stripe and third-party APIs, and drop into Python/JavaScript where low-code falls short.

Shipped 8+ live systems, including a multi-tenant B2B platform serving 27+ enterprise accounts and a multi-step RAG agent (30,000+ indexed items).
  • English

    Native or bilingual

  • Polish

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • Wequity
    Low-Code / AI Product Enginee
    July 2023 - June 2025 (1 year and 11 months)
    Brussels, Belgium
    • Gathered and clarified requirements from a near-zero specification and architected a full platform rebuild in under 30 days — multi-tenant, per-client data confidentiality, and RBAC from day one.
    • Designed and built an automated LLM data-processing layer: configurable requests, structured extraction, AI recommendations, validation workflows, and automated .xlsx export.
    • Engineered and optimised the production prompts behind that layer, with structured-output checks so results were reliable before reaching client users.
    • Integrated authentication (Auth0), internal chat, task assignment, and a knowledge base with AI-assisted organisation and real-time storage monitoring.
  • Self-Employed
    AI & Automation Engineer / Low-Code Engineer
    October 2022 - Today (3 years and 8 months)
    Worked directly with founders and enterprise clients to design, build, and deploy AI-powered and automated systems across the full delivery cycle.

    • Built a multi-step RAG system with semantic retrieval, intent routing, agent orchestration, and text/voice I/O — deployed to production.
    • Built two-sided marketplace platforms with Stripe multi-party payments, custom booking engines, and dual-role user flows.
    • Built task-management, trendwatching, and conversational AI tools with text and voice interfaces, backed by automated workflows.
    • Delivered a candidate-selection platform for the 2024 Belgian regional, federal, and European elections

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Education

  • Bachelor
    University of Łódź
    2025

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