I build product-grade AI/ML systems and the interfaces around them.
My focus is not just training models. I care about the full chain: data flow, inference, reliability, UI, operator visibility, and how a technical system actually gets used in the real world.
That usually means one of these three directions:
- computer vision and OCR pipelines
- decision support products and BI copilots
- full-stack systems where model output becomes an operational workflow
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AI destekli kredi risk operasyon ürünü. Risk scoring, simulator, analytics, dataset visibility ve karar akışını tek ürün altında topluyor. Stack: Next.js · ONNX Runtime Web · Neon · Recharts |
Text-to-SQL ve BI copilot. Hybrid schema discovery, SQL guard, self-healing flow ve admin control center ile kurgulandı. Stack: FastAPI · Next.js · Qdrant · SQLGlot · SSE |
MobileNetV3 tabanlı matematik CAPTCHA çözüm hattı. Eğitim, export, optimization ve inference zincirini tek projede topluyor. Stack: PyTorch · ONNX Runtime · FastAPI · MobileNetV3 |
AI / Data
App / Product
Backend / Delivery
- Building AI products where model outputs become operator-facing workflows
- Turning raw datasets into explainable dashboards, simulators, and governance layers
- Shipping systems that are visually sharp, technically grounded, and deployable
- Portfolio: coming through live project systems and case studies
- LinkedIn: emrecanik
- GitHub: @emrecengdev
I like systems that do more than predict. They should help someone decide, act, and move faster.

