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Experienced in product testing, usability feedback, and consumer insight. I bring a high level of attention to detail, a strong sense of responsibility, and always strive to meet deadlines. I’ve successfully worked on projects involving detailed reviews and user experience evaluations.

Mechanical Engineer with over 30 years experience in Automotive, High Tech, Manufacturing, Chemical/Food Industries with latest tools of the trade in design, engineering and production. Over 15 years experience with SolidWorks 3D design software. Engineering FEA analysis of complex non-simplified 3D assemblies using latest state-of-the-art AI software.

Most freelancers building AI workflows can't read a CAC chart. Most marketers can't ship a RAG pipeline. I do both — and that combination is what separates production AI from prompt demos. Five years scaling premium media — ELLE Kazakhstan and Harper's Bazaar Kazakhstan to 500K+ monthly visitors, 185% daily traffic growth, page speed from 46 to 96 on Core Web Vitals. Now I build AI workflows for marketing teams who need production tools, not strategy decks. What I build: — RAG systems over your marketing data (helpdesk, sales calls, product docs) for personalized email and chat — n8n and Make workflows connecting your stack to LLMs (Claude API primary) — AI agents for content generation, briefing, A/B test ideation, internal tools — Productionized chatbots and assistants that work at scale, not just in spreadsheets Stack I use daily: Claude (API + Code), n8n, LangChain, Pinecone, HubSpot, Klaviyo. Marketing fundamentals are not bolted on — they're embedded in architecture decisions from day one. Best fit: — Growth-stage SaaS or D2C, 10-50 employees — Head of Growth needs AI tools but engineering is 6 months out — You have data you're not using and want it productized — Project budget $1,500-6,000 fixed or 40-100 hour engagements Not a fit: — Pre-seed teams without revenue or data — "AI strategy decks" requests — Generic chatbot builds under $500 Most freelancers building AI workflows can't read a CAC chart. Most marketers can't ship a RAG pipeline. I do both — and that combination is what separates production AI from prompt demos. Five years scaling premium media — ELLE Kazakhstan and Harper's Bazaar Kazakhstan to 500K+ monthly visitors, 185% daily traffic growth, page speed from 46 to 96 on Core Web Vitals. Now I build AI workflows for marketing teams who need production tools, not strategy decks. What I build: — RAG systems over your marketing data (helpdesk, sales calls, product docs) for personalized email and chat — n8n and Make workflows connecting your stack to LLMs (Claude API primary) — AI agents for content generation, briefing, A/B test ideation, internal tools — Productionized chatbots and assistants that work at scale, not just in spreadsheets Stack I use daily: Claude (API + Code), n8n, LangChain, Pinecone, HubSpot, Klaviyo. Marketing fundamentals are not bolted on — they're embedded in architecture decisions from day one. Best fit: — Growth-stage SaaS or D2C, 10-50 employees — Head of Growth needs AI tools but engineering is 6 months out — You have data you're not using and want it productized — Project budget $1,500-6,000 fixed or 40-100 hour engagements Not a fit: — Pre-seed teams without revenue or data — "AI strategy decks" requests — Generic chatbot builds under $500 What's next — invite me to your job, send a message describing your problem, or book a paid consultation if you want to think through the approach