Professional Experience

Professional experience since 2014 spanning university IT systems, unmanned aircraft, robotics, machine learning, digital forensics and high-volume software systems.

My professional experience began in 2014 with RFID systems, serial communication, databases and hardware-software integration at Afyon Kocatepe University’s IT department. In 2015, my internship at Baykar covered embedded systems, avionics software investigation and telemetry applications. During 2015–2016, I also supported administrative workflows and document tracking at Kırıkkale University’s Distance Education Center. From 2016 to 2019, I worked at Akınsoft and Akın Robotics on robot control, autonomous behavior, speech and image processing, telemetry and system integration. Project-based work with Argus Technology between 2019 and 2025 focused on computer vision, deep learning and performance-oriented software engineering. Since 2019, my professional work at the Ministry of Interior has involved digital forensics, data-intensive processing and real-time software systems. During this period I have also worked with ClickHouse on analytics for continuously ingested data, telemetry, log analysis, anomaly detection, and analytical data preparation for artificial intelligence.

The progression of these roles connects embedded software and physical-system integration with robotics, machine learning and data-intensive enterprise software engineering. My experience with Java, C/C++, C#, Python and database technologies has included system design, concurrency, data processing, algorithmic verification and performance engineering.

Alongside my professional work from 2019 onward, I completed master’s degrees in digital forensics and cybersecurity. My academic book chapters on the Internet of Things and Digital Forensics and Image and Audio Processing were published in 2021 and 2022, respectively. The institution-specific pages describe the historical technical scope of each role, while my Academy courses and technical articles cover the general engineering principles.

Argus Technology — Machine Learning Project Engineer

2019-2025 — Project-based computer vision, deep learning, pattern recognition and signal processing, combining models, data pipelines and CPU/GPU performance engineering with C/C++, Python, OpenCV, CUDA and OpenMP.

Baykar — Computer Engineering Intern

2015 — From TMS570/lwIP embedded networking in Ikitelli to real UAV systems in Kesan: avionics debugging, C/C# static analysis and telemetry integrated into ground-control software.