I’m a final-year Computer Engineering student and Network Administrator with hands-on experience in computer networks, Linux systems, backend development, embedded systems, and applied computer vision.
Currently, I work as a Network Administrator at Pievision and as a Researcher at i-LAB, where I contribute to software, infrastructure, and AI-assisted systems for real-world laboratory and healthcare workflows.
I enjoy building systems that connect software, infrastructure, data, and hardware — from backend platforms and APIs to edge-device pipelines and computer vision prototypes.
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Network & System Administration Working with Linux servers, network infrastructure, troubleshooting, monitoring, and deployment workflows.
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Backend & Full-Stack Systems Building APIs, dashboards, authentication flows, role-based platforms, and workflow-oriented web applications.
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Computer Vision & Biomedical AI Developing AI-assisted systems for image processing, segmentation, instrument analysis, and damage detection.
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Embedded Systems & IoT Integrating Raspberry Pi, ESP32, sensors, cameras, barcode/QR readers, and device-to-cloud pipelines.
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Applied Research & Prototyping Turning research ideas into practical prototypes that combine software, hardware, and data-driven intelligence.
- Network Administration & IT Infrastructure
- Linux Server Administration
- Backend Architecture & API Design
- Computer Vision & Image Processing
- Medical / Biomedical AI
- Embedded Systems & IoT
- Edge AI and Device Integration
- Data Pipelines & Workflow Automation
- Human-centered engineering for real-world systems
A platform that aggregates tech events, bootcamps, hackathons, and training opportunities in Turkey to help students and early-career developers discover valuable opportunities more easily.
Highlights:
- Backend built with FastAPI
- Frontend built with React + Vite
- Responsive interface with dark/light theme support
- Event scraping and data aggregation pipeline
- Curated section for free learning resources
I contribute to internal platforms for managing laboratory workflows, research projects, users, data, and operational processes.
These systems involve:
- Role-based access control and dashboards
- API design and integration
- Authentication and authorization flows
- Workflow automation
- Data management and reporting
- Deployment and infrastructure configuration
An end-to-end prototype for surgical instrument identification, image capture, analysis, and reporting.
The system combines:
- Barcode / QR-based instrument identification
- Edge-device image capture
- Device-to-cloud data transfer
- Image processing and segmentation
- Computer vision-assisted damage detection
- Practical healthcare workflow design
I like building practical systems that connect software, infrastructure, data, and hardware.
Whether it is a networked backend platform, an embedded device pipeline, or an AI-assisted healthcare prototype, I enjoy turning complex ideas into working systems that can be used in real environments.