I’m a final-year Computer Engineering student focused on building practical systems at the intersection of AI, backend development, embedded systems, and computer vision.

Currently, I work as a Network Administrator at Pievision and Researcher at i-Lab, where I develop software and AI-driven solutions for real-world healthcare and laboratory workflows. My work spans from API design and full-stack systems to edge-device integrations, image processing, and medical/biomedical AI applications.

I enjoy building products that are not only technically solid, but also actually useful in real operational environments.

• Biomedical AI & Computer Vision:
  Developing AI-assisted systems for surgical instrument analysis, segmentation, tracking, and damage detection.

• Backend & Full-Stack Systems:
  Building scalable platforms, APIs, dashboards, and workflow-driven systems for laboratory and research environments.

• IoT & Embedded Development:
  Working with Raspberry Pi, ESP32, sensors, and device-to-cloud pipelines for real-time data collection and automation.

• Applied Research & Prototyping:
  Turning research ideas into working prototypes that combine software, hardware, and data-driven intelligence.

• Computer Vision & Image Processing
• Medical / Biomedical AI
• Backend Architecture & API Design
• Embedded Systems & IoT
• Edge AI and Device Integration
• Data Pipelines & Automation
• Human-centered engineering for real-world workflows

A platform that aggregates tech events, bootcamps, hackathons, and training opportunities in Turkey.
Built to help students and early-career developers discover valuable opportunities more easily.

Highlights:

• Modernized backend with FastAPI
• Frontend rebuilt with React + Vite
• Responsive design with dark/light theme support
• Improved scraping infrastructure
• Includes a curated free education resources section

I contribute to internal systems and research-oriented software for managing workflows, users, data, and operational processes in lab environments.

These projects involve:

• Role-based platforms and dashboards
• API integrations
• Authentication / authorization flows
• Workflow automation
• Data management and reporting

An end-to-end system for:

• barcode / QR-based identification
• image capture from edge devices
• cloud data transfer
• segmentation and instrument analysis
• damage detection and reporting

This project combines computer vision, embedded hardware, backend systems, and practical healthcare workflow design.

I like building systems that connect software, data, and hardware in meaningful ways.
Whether it’s a backend platform, an embedded device pipeline, or an AI-powered healthcare prototype, I enjoy turning complex ideas into practical, working products.