I combine mechanical design, electronics, control and software into systems that work. From autonomous robots and control systems to computer vision and industrial automation, I turn ideas into solutions that hold up in the field.
I'm a mechatronics engineer who enjoys working on every layer of a machine: mechanical design, electronics and sensors, control algorithms and the software that brings them to life. Robotics and autonomous systems are at the core of my work, but my experience stretches from production lines and AI applications to race-car development and computer vision.
Today, as an AMR Test Engineer at Bluepath Robotics, I test and validate the safety, sensor, drive and energy systems of autonomous mobile robots end to end. Before that, I worked on AI-driven industrial inspection robots at Onna Robotics, and on sensor evaluation and YOLO-based object detection at HetBot in Poland. At Norm Group I built an AI-supported corporate memory system with the GPT API. At Ferrero I carried out mechanical and electrical maintenance on the Nutella and Kinder lines and improved processes with Power BI dashboards and parts I designed in SolidWorks.
I graduated first in my department in Mechatronics Engineering at Izmir Katip Celebi University, where I'm now pursuing an MSc in Robotics Engineering. As a student, I contributed to the development of an electric race car in the R&D team of IKC Racing Formula Student.
My goal is simple: turn an idea into a system that works reliably in the real world, every single day.
From trade-fair booths to test floors, from the top of wind turbines to labs in Poland: the places my work takes me.
Click any frame to enlarge ↗From mechanical design and electronics to control algorithms, software and AI, I work on every link a machine needs to run reliably in the real world.
Bringing mechanics, electronics and software together in one system: sensor and actuator selection, motor drivers, battery and charging systems, in-vehicle communication and end-to-end field testing.
ROS/ROS 2, SLAM, localization and path planning; testing and validation of autonomous mobile robots (AMR/AGV), safety PLCs and LiDAR integration.
Model-based design and PID control in MATLAB/Simulink; real-time control with encoder feedback, validating on real hardware what was tuned in simulation.
Real-time YOLO-based object detection, 3D perception with stereo cameras (ZED2, OAK-D Pro, RealSense) and AI-assisted maintenance tools built on the GPT API.
Part and system design in SolidWorks, AutoCAD and Inventor; production-line maintenance and improvements, process optimization with Power BI and SAP.
Five roles spanning autonomous robots and industrial inspection, production-line maintenance and AI-driven digitalization.
Bluepath Robotics
End-to-end testing and validation of autonomous mobile robots across safety, sensing, drive, energy and communication systems.
Onna Robotics
AI-driven robotic systems for industrial inspection applications.
HetBot — Lodz University of Technology
Sensor evaluation, test procedures and AI-based object detection for an outdoor robot.
Norm Group
An AI-supported corporate memory system for machine troubleshooting.
Ferrero
Maintenance, data analysis and mechanical design on the Nutella and Kinder production lines.
Izmir Katip Celebi University
Taught 100% in English
Izmir Katip Celebi University
GPA 3.40 / 4.00 · Taught 100% in English
IKC Racing Formula Student
Contributed to the development of an electric Formula Student race car as part of the R&D team.
“Tomorrow is Possible” — Sabancı Group
A program by Çimsa, Enerjisa, SabancıDx and Sabancı University focused on digital skills and career development.
Projects where I built every layer myself, from mechanical design and electronics to control and software. Each one shaped the engineering approach I use today.
Graduation project: a fully autonomous mobile robot with a ZED2 stereo camera, YOLO-based object detection, Particle Filter localization and A* path planning. I led both software and hardware end to end.
Real-time robot arm control with live PID tuning through a MATLAB App + Simulink interface, validated with OptiTrack motion-capture cameras.
A 2D navigation robot that detects obstacles with ultrasonic sensors, runs PID control, and performs image processing with a ZED2 camera + NVIDIA GPU.
Technical notes on robotics, control and engineering, and lessons learned in the field.
Whether it's a project, a collaboration or a technical chat about engineering, my inbox is always open.