Vadym

@vadym_nahornyi

AI Automation n8n Developer Solution Architect

Spanje
Engels, Russisch, Oekraïens, Spaans
Sommige informatie wordt in het Engels weergegeven.
Over mij
I build AI automations that work in production and stay working. n8n creator, ML Engineer, Senior QA Engineer. 5+ years in banking tech, PhD in Mathematics. What I deliver: - n8n workflow automation: CRM, email, messengers, databases - AI assistants and chatbots: Claude API, OpenAI, RAG systems - Web scraping pipelines: scheduled, monitored, clean output - Full infrastructure: AWS, self-hosted servers, Docker, CI/CD, SSL Recent: news scraping system across 40 locales, hourly schedule, zero downtime. One person, full cycle: architecture, build, test, deploy, monitor.... Lees meer

Skills

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Vadym
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Bekijk mijn diensten

AI-integraties
I will build custom n8n automation workflows with ai integration
AI chatbot development
I will fix your broken n8n workflow

Portfolio

Werkervaring

AI Solutions Architect

Nahornyi AI Lab • Freelance

Dec 2023 - Present2 yrs 5 mos

Design and deliver GenAI assistants (RAG) and automation workflows for business use cases. Build production pipelines with integrations, monitoring/alerting, caching/deduplication and cost control. Productize solutions into reusable templates (n8n) and iterate from MVP to production. Strong AWS background (Bedrock, SageMaker, Lambda, S3, OpenSearch), Python/FastAPI, Docker/CI/CD.

ML Engineer

FUIB Bank • Fulltime

Dec 2022 - Dec 20242 yrs

Built ML/LLM components for support and internal operations (classification, retrieval/RAG, automation). Worked with stakeholders on requirements, metrics, rollout, and feedback loops. Technologies: Python, PyTorch, TensorFlow, AWS (Bedrock, SageMaker, Lambda), SQL, MongoDB.

Senior QA Engineer

Bank PUMB • Fulltime

Mar 2019 - Nov 20223 yrs 8 mos

Led QA activities for banking systems, including manual testing, regression testing, release validation, and test documentation for web and backend products. Collaborated with developers, analysts, and business teams to identify risks early, improve quality, and ensure stable releases. Also contributed to QA automation and process improvement initiatives.