I am a Computer Engineering graduate working at the intersection of network infrastructure, Linux systems, backend development, embedded devices, IoT, and applied computer vision.

I currently work as a Network Administrator at Pievision and contribute to research and engineering projects at i-LAB. My work includes network operations, Linux-based infrastructure, backend services, deployment workflows, edge-device integrations, and computer vision systems designed for real operational environments.

I particularly enjoy building end-to-end systems in which:

• embedded devices collect data,
• networks and protocols move that data reliably,
• backend services process and manage it,
• dashboards make it usable,
• and monitoring tools keep the entire system observable.

My current goal is to deepen my expertise in network engineering, embedded Linux, IoT architectures, edge computing, distributed systems, and reliable connected infrastructure.

Linux server administration, network troubleshooting, service deployment, monitoring, reverse proxies, containerized environments, and reliable infrastructure operations.

REST APIs, authentication systems, role-based access control, dashboards, workflow-oriented applications, data pipelines, and service integrations.

Raspberry Pi and ESP32 integrations, industrial and embedded cameras, sensors, barcode systems, serial communication, edge-device software, and device-to-cloud pipelines.

Image acquisition, object detection, segmentation, OCR, model-assisted decision systems, and healthcare-oriented computer vision prototypes.

Turning research concepts into functional systems by combining software, hardware, networking, data, and real-world workflow requirements.

• Advanced network administration and network automation
• Embedded Linux and edge-device management
• IoT communication architectures
• Edge AI and computer vision deployment
• Observability with Prometheus and Grafana
• Reliable backend and distributed system design
• Device-to-cloud communication pipelines
• Homelab infrastructure and self-hosted services

An end-to-end biomedical engineering prototype designed to identify, inspect, track, and report surgical instruments.

The system combines:

• surgical instrument detection and image segmentation,
• computer vision-assisted damage analysis,
• barcode, QR, and OCR-based identification,
• Raspberry Pi 5 edge processing,
• Hikvision/Hikrobot industrial camera integration,
• backend-based decision and reporting workflows,
• inventory and sterilization-cycle tracking,
• and a web dashboard for operational management.

The project focuses not only on AI accuracy, but also on integrating computer vision into a practical healthcare workflow.

Core technologies: Python, YOLO, OpenCV, FastAPI, React, Raspberry Pi, industrial cameras, Docker

TechEventRadar is a platform that aggregates technology events, bootcamps, hackathons, conferences, and educational opportunities in Turkey.

It was created to help students and early-career developers discover relevant opportunities without searching across dozens of separate platforms.

Highlights:

• FastAPI backend
• React and Vite frontend
• PostgreSQL database
• Docker-based deployment
• Event scraping and aggregation pipelines
• Responsive dark and light interfaces
• Curated free-learning resources
• Search and filtering workflows

Core technologies: FastAPI, React, PostgreSQL, Docker, Python

Computer vision and device-integration prototypes for warehouse and industrial workflows.

These systems include:

• barcode and QR recognition,
• OCR fallback pipelines,
• SAP and backend validation,
• industrial camera integration,
• conveyor and diverter workflows,
• reject-bin handling,
• and real-time operational feedback.

Core technologies: Python, OpenCV, YOLO, OCR, industrial cameras, edge devices

A personal Linux homelab built from repurposed hardware to experiment with server administration, networking, monitoring, automation, and self-hosted services.

Services and areas of experimentation include:

• Debian server administration,
• Pi-hole,
• CUPS print services,
• Tailscale networking,
• Cockpit,
• Docker workloads,
• remote access,
• network troubleshooting,
• hardware upgrades,
• and automated service recovery.

This environment serves as a practical testing ground for infrastructure and system administration concepts.

Networking        Linux Infrastructure    Backend Engineering
Embedded Linux    IoT Architectures       Edge Computing
Computer Vision   Biomedical Systems      Observability
System Design     Workflow Automation     Applied Research

GitHub language statistics represent the contents of public repositories and do not necessarily reflect overall proficiency.

I enjoy engineering systems that connect hardware, software, networks, infrastructure, and data.

Whether I am working on a Linux server, a backend platform, an embedded device, or a computer vision pipeline, my goal is the same: understand the entire system, design it carefully, and turn the idea into something that can operate reliably in the real world.