SolarBiotecİzmir,Türkiye

• Following my transition to a full-time AI Software Engineer position, I have contributed to the development of multiple production-oriented software and AI systems across medical diagnostics, industrial automation, and embedded/edge computing.

• UrineReader – AI-Powered Microscopic Diagnostic System

• I contributed to the end-to-end software development of UrineReader, an automated microscopic analysis system built around an NVIDIA Jetson platform.
• My responsibilities included developing and fine-tuning YOLO-based computer vision models for microscopic sample analysis, achieving up to 99.1% mAP@50. I evaluated different deployment approaches and optimized the inference pipeline to achieve the best possible performance on the Jetson platform.
• On the application side, I developed the end-user desktop software using Python and QML, integrating the AI inference pipeline with the complete device workflow. The application manages and coordinates components such as a Basler industrial camera, automated microscope stage, flow-cell washing module, and barcode reader while processing and visualizing diagnostic results.
• The project involved bringing together AI inference, image acquisition, device control, workflow management, and user interaction within a single production-oriented software application.

• GelReader – Computer Vision-Based Blood Typing System

• I developed the software for an automated gel-card blood typing system running on Raspberry Pi.
• The analysis pipeline was implemented using traditional computer vision techniques with Python and OpenCV, including image processing and blood reaction detection algorithms designed specifically for gel-card analysis.
• I also developed the end-user application responsible for managing the complete testing workflow, image acquisition, barcode integration, analysis, and result presentation.
• The complete software pipeline was optimized for edge execution, allowing a typical test to be processed and evaluated in approximately 6–7 seconds.

• CardioPlot – AI-Based ECG Analysis Platform

• I am currently involved in the development of CardioPlot, an AI-based system designed to process real-time ECG data received from Holter devices and generate two different types of diagnostic outputs.
• My work focuses on the AI and software architecture of the system, including the development and evaluation of CNN-based deep learning models for ECG analysis.
• The project also involves designing a cloud-based inference architecture, enabling ECG data to be processed remotely while allowing results to be delivered to the associated software applications.
• The project is currently under active development, with ongoing work on model performance, inference architecture, and software integration.

• SolarBiotec MES – Manufacturing Execution System

• I developed a comprehensive Manufacturing Execution System (MES) for managing the complete production lifecycle of GalvanoPlot devices.
• The system is used across the organization by nine different user roles, providing role-based access to the workflows required throughout device production, testing, calibration, and delivery.
• The software includes modules for production tracking, device records, workflow management, proforma and invoice generation, calibration procedures, and firmware programming.
• A dedicated internal calibration application was also integrated into the system, allowing manufactured devices to be calibrated and programmed with firmware directly within the production workflow.
• This project involved designing and implementing a complete business-critical software system used by multiple departments throughout the manufacturing process.

• SDX – Embedded Monitoring and Control Application

• I contributed to the development of the software interface for an industrial CO2 extraction system.
• The application runs on a touchscreen connected to a Raspberry Pi and provides real-time monitoring and control of telemetry data received from extraction columns.
• The software allows operators to monitor parameters such as temperature and pressure in real time, configure operating setpoints, and interact with the system through a dedicated user interface.
• The project involved developing a reliable embedded user application that connects real-time telemetry data with operator control and visualization.

TÜBİTAKİzmir,Türkiye

• While continuing my work at Solar Biotech, I was selected for the prestigious TÜBİTAK 2247-C STAR Research Internship Program, a highly competitive initiative supporting undergraduate researchers. Within the scope of this program, I actively participated in academic and scientific research processes, gaining hands-on experience in R&D-focused projects. I contributed to scientific studies by conducting literature reviews, data analysis, and experimental procedures, further developing my ability to bridge theoretical knowledge with practical research applications.

Puzzle Group Deutschland Berlin,Germany (Remote)

• Upon returning from Germany, I took on a remote, project-based role as a Software Developer. I was responsible for designing and implementing an automated solution to streamline financial reporting processes. Specifically, I developed a custom Android mobile application using Java that interfaces with POS devices and cash registers. This application automates the extraction and secure transfer of Z-reports (end-of-day reports) to a remote FTP server, successfully eliminating manual data entry and ensuring seamless data synchronization.

BPL GmbHZweibrücken-Neümünster-Berlin,Germany

• I participated in a comprehensive student cultural exchange program that allowed me to live and work in Germany for three months. During this period, I had the opportunity to work in various student jobs across different regions, demonstrating adaptability to new environments and work cultures. Beyond my professional responsibilities, I traveled extensively throughout the country, which significantly contributed to my personal growth and provided me with valuable international life experience.

Semafor Technology and Software Inc.İzmir,Türkiye

• During this internship, I actively participated in the development lifecycle of a Quality Control System designed for a large-scale manufacturing factory in Izmir. Working on this live, industrial-grade project provided me with hands-on experience in building robust software solutions. I utilized C# and ASP.NET MVC for backend development and managed complex data operations using PostgreSQL, contributing to the creation of a scalable and efficient system