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.
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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.