Electrical & Electronics Engineering at Marmara University. I forge embedded systems, digital verification and applied machine learning into things that actually run.
I'm an Electrical & Electronics Engineering undergraduate at Marmara University, working at the seam where hardware meets intelligence. My projects run across embedded systems, digital design verification (SystemVerilog / UVM), and applied machine learning — from anomaly detection on smart-grid data to real-time computer vision.
I'm drawn to problems where a system has to actually run: tight latency budgets, messy real-world data, and the discipline of verifying that what I built does what I claimed. Right now I'm heading into an embedded-engineering internship and working toward graduate study in Germany.
AI-powered electricity-theft detection for Turkey's national smart-meter infrastructure (MASS). Six ML models combined in a stacking ensemble (ROC-AUC 0.94), served through a Streamlit dashboard and a desktop analyst workstation with case management.
Real-time attention-monitoring app using computer vision. Gaze tracking and head-pose estimation (PnP) on MediaPipe's 468-point face mesh, liveness checks, a weighted multi-metric scoring engine at 30+ FPS, and automatic PDF/PNG session reports.
A voice financial-literacy assistant that translates Turkey's KAP public disclosures into plain Turkish — never investment advice. Gemini-based summarization with a safety guard, FastAPI backend, Next.js frontend, Risk Radar and Gemini Vision document analysis.