Computer Vision & ML
- YOLO (v3 / v8)
- PyTorch · TensorFlow
- OpenCV
- Fine-tuning · Roboflow
- scikit-learn · SHAP
Open source
On GitHub
Where
Experience
-
2025 – now
MSc · AI for Smart Sensors and Actuators
Deggendorf Institute of Technology · Germany -
2020 – 2025
BSc · Electrical & Electronics Engineering
Afyon Kocatepe University · TürkiyeBachelor's thesis: a real-time perception-to-actuator control loop driving a 3D-printed robotic hand (Python, OpenCV, YOLOv8, Arduino).
-
Aug 2024 – Sep 2024
Engineer Intern
Baylan Ölçü Aletleri — Water & Energy Meters · İzmir, TürkiyeBuilt a Python desktop tool for real-time device monitoring, data processing and visualization.
-
Aug 2023 – Jan 2024
Engineer Intern
NISO Yazılım Teknolojileri A.Ş. · İzmir, TürkiyeBuilt AI perception pipelines — YOLO-based detection and LiDAR-SLAM workflows for real-time perception. Benchmarked YOLOv3 against YOLOv8 for traffic-light detection; results presented at the IEEE TUAC 2023 conference.
Stack
Skills
Robotics & Control
- ROS
- Gazebo simulation
- SLAM · mapping
- EKF / state estimation
- Serial · sensor fusion
Languages & Runtimes
- Python
- C++
- Dart (Flutter)
- JavaScript
- MATLAB · Arduino
Tooling & Data
- Linux · Git
- NumPy · Pandas
- Firebase
- Matplotlib
- Data pipelines
Turkish (native) · English (C1) · German (A2)
Who
About
I'm Berke — a Master's student in AI for Smart Sensors & Actuators with an Electrical Engineering background. I take models from a rough baseline to something that runs in the real world: full vision-to-actuator loops, YOLO detectors fine-tuned on custom data, LiDAR turned into live navigation. Experience from long-term internships at NISO and Baylan, and an academic–industry project with Fraunhofer IVI.
- BasedCham → Regensburg · Oct 2026
- StudyMSc AI · TH Deggendorf
- StatusOpen to working-student roles
- FocusComputer vision · Robotics