I’m a Computer Engineering graduate focused on computer networks, embedded systems, IoT, and Linux-based infrastructure.

I currently work as a Network Administrator at Pievision and as a Researcher at i-LAB, where I contribute to network operations, software infrastructure, edge-device pipelines, and applied computer vision systems for real-world workflows.

I enjoy building end-to-end systems that connect hardware, networks, backend services, and data — from embedded devices and communication protocols to APIs, monitoring systems, and edge computing applications.

My current focus is deepening my expertise in network engineering, embedded Linux, IoT architectures, edge computing, and reliable connected systems.

• Network & System Administration Working with Linux servers, network infrastructure, troubleshooting, monitoring, and deployment workflows.

• Backend & Full-Stack Systems Building APIs, dashboards, authentication flows, role-based platforms, and workflow-oriented web applications.

• Computer Vision & Biomedical AI Developing AI-assisted systems for image processing, segmentation, instrument analysis, and damage detection.

• Embedded Systems & IoT Integrating Raspberry Pi, ESP32, sensors, cameras, barcode/QR readers, and device-to-cloud pipelines.

• 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.