Automation Architect · Vibe Coder · Business × Tech Integrator

Gießen, Germany 🇩🇪

I sit at the junction of business operations and technical execution — the person who understands what a department actually needs, then builds the system that delivers it. My background is in business administration, but I spend most of my time designing automation pipelines, shipping vibe-coded tools, and making sure different parts of an organization actually talk to each other — at the process level, not just the org chart level.

• 🎓 B.Sc. Business Administration — Turkish-German University, Istanbul
• 📚 M.Sc. Betriebswirtschaftslehre — Justus Liebig Universität Gießen (ongoing)
• 🏆 Theo Münch Foundation Award — Best Undergraduate Thesis 2023–2024
• ⚙️ Building operational automations: e-commerce, SaaS, agency & reporting flows
• 🤖 Shipping AI-integrated backend systems with n8n, Claude, Supabase, Docker
• 🌍 Turkish · German · English

Operations that run themselves.

I take manual, error-prone business processes — order flows, lead routing, KPI reporting, CRM sync — and turn them into self-running pipelines with monitoring, alerts, and documentation included.

The approach:

• Start with KPI definition and risk mapping
• Ship a working MVP in 1–2 weeks
• Add observability: health checks, daily reports, Slack alerts
• Leave behind clean docs, not dependency

Use cases I've worked on:

• 📦 E-commerce — stock sync + post-order WhatsApp + customer segmentation
• 🎯 SaaS / Services — form → CRM → instant offer delivery in < 2 min
• 📊 Operations — AI-assisted KPI aggregation, data cleaning, auto-reporting
• 🏢 Agencies — cross-platform lead routing, automated proposals, Slack notifications

Automation & Backend

AI & Dev Tooling

Frontend & Fullstack

⚙️ Operational Automation  → n8n flows, AI-assisted pipelines, self-running business ops
🤖 AI Agent Systems        → Specialized agents: prompt engineering, backend, code review
🛠️ Vibe Coding             → Shipping small tools fast, iterating in public

A Comparative Experimental Study on AI- and Human-Driven Social Media Marketing Campaigns

Klein, M., & Kutlar, M. F. (2024). JMML, 11(2), 92–100.

A true field experiment on the Meta platform: ChatGPT-4 managed one campaign end-to-end, a human expert managed the other — same budget, same objective, running simultaneously.

📄 Full Paper · DOI: 10.17261/Pressacademia.2024.1935

💻 GitHub Profile Stats

Note: Top languages is only a metric of the languages my public code consists of and doesn't reflect experience or skill level.