Building rule-driven systems, SQL-centered data pipelines, and operational workflows.
I design backend systems where:
- Rules make decisions
- Data is the source of truth
- Automation executes actions
- AI explains outcomes (never replaces core logic)
I focus on practical, auditable, production-minded engineering.
Backend system that:
- Evaluates business metrics against configurable rules
- Assigns severity levels (INFO / WARNING / CRITICAL)
- Persists decisions as a reliable source of truth
- Generates AI-assisted explanations
- Triggers automated workflows via n8n
Tech: TypeScript, Node.js, Express, Prisma, SQL, n8n
π https://github.com/gamzeozgul/autoops-ai
- Automation workflows (n8n, webhooks, async processing, CRM integrations)
- Rule-based decision engines with severity scoring & thresholds
- SQL-centered systems with reporting and audit trails
- API integrations with retry logic, normalization & deduplication
- Backend services designed for operational reliability
Full-stack lead discovery system using Overpass API with normalization, deduplication, and dashboard interface.
Tech: TypeScript, Next.js, n8n
Automated lead scoring and CRM synchronization workflow with conditional routing and notifications.
Automated order processing workflow with HTML email notifications and structured logging.
Relational schema design simulating clinic-level appointment and patient management systems.
Oracle BI Consultant (2017β2019)
Enterprise dashboards, advanced SQL reporting, performance-focused query development
Freelance Software & Data Work (2012βPresent)
Open to junior / entry-level roles in:
- Automation Engineering
- Backend Development
- SQL-heavy Data / Operations
π Istanbul
π Open to Remote & Relocation
