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Electrical & Electronics Engineer
Robotics · ROS 2 · Embedded Systems · Ferrara, Italy
DOWNLOAD CVAbout Me
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I am a final-year Electrical and Electronics Engineering student at Hitit University (B.Sc. expected January 2027; I started my studies at Akdeniz University). Right now I am an Erasmus+ R&D trainee in the automation lab of the University of Ferrara, Italy, where I am building the ROS 2 navigation stack of an omnidirectional mobile robot.
My work covers the whole autonomous-systems stack: sensors and analog front-ends, embedded firmware (ESP32, flight controllers), edge computing on NVIDIA Jetson, and ROS 2 mapping, localization and navigation, mostly in C/C++ and Python. I also completed two R&D internships at ASELSAN.
I am looking for an engineering role in robotics, industrial automation or embedded systems in Italy, starting January 2027.
Core Skills
Software & Development
Hardware & Embedded Systems
Domain Expertise & Robotics
Languages
Work & Internship Experience
Università degli Studi di Ferrara | Italy
Erasmus+ R&D Trainee, Automation & Robotics Lab (RIGA-AT Project) | Sep 2026 – Jan 2027I am building the autonomous navigation stack of the KELO Robile omnidirectional mobile robot with ROS 2 Jazzy, running on an NVIDIA Jetson Orin Nano.
- Mapping & localization: slam_toolbox, AMCL and Marvelmind indoor positioning.
- Navigation: Nav2 with the MPPI controller.
- Sensors: Hokuyo URG-04LX 2D LiDAR and Intel RealSense D435 depth camera.
- Safety: LiDAR and depth collision monitors, a velocity gate, a watchdog and a position-divergence monitor.
- Tooling: Docker image for the Jetson, simulator, record/replay and a documented commissioning procedure.
ASELSAN & ASELSAN NET
R&D Engineering Intern (two 2-month internships) | Jul – Aug 2025 · Jun – Jul 2026 | Ankara, TurkeyTwo internships at Turkey's leading defence electronics company. I observed and supported R&D work on military communication systems, satellite communications and electronic warfare systems, and learned the design constraints (e.g., IP67 sealing) and verification discipline required for mission-critical electronics.
Freelance Web Developer
Independent ContractorI developed corporate website projects for Izmir-based MRT Dekorasyon and various SMEs. I managed customer needs analysis, user interface (UI) design, domain/hosting management, and search engine optimization (SEO) processes. I actively utilized HTML, CSS, and JavaScript technologies throughout these projects.
Projects
Heavy-Duty Autonomous Ground Vehicle (UGV)
Hardware & Systems Engineer | Jan 2024 – Aug 2025
A custom autonomous ground vehicle for heavy payload transport, with a carrying capacity of up to 300 kg.
- Perception: LiDAR and environmental sensors as the physical base for autonomous navigation.
- Computing architecture: NVIDIA Jetson Orin Nano for high-level edge computing, Arduino and ESP microcontrollers for low-level motor and actuator control.
Technologies Used: NVIDIA Jetson Orin Nano, LiDAR, Arduino, ESP32, C/C++, Python.
SERAVIP: Smart Agriculture Management System (TÜBİTAK 1812)
SERAVIP is an AI and image processing-supported smart agriculture management system developed for farmers. Operating fully autonomously with advanced sensors and a solar energy infrastructure, this system performs disease and pest detection, irrigation optimization, and efficiency analysis.
Our project has been presented on multiple prestigious platforms and events, gaining the appreciation of investors and industry professionals. Technologies Used: Python, OpenCV, TensorFlow, Raspberry Pi, Solar Energy Systems.
Real-Time Speech Emotion Recognition System
This Raspberry Pi-based embedded system analyzes the human voice in real-time, focusing solely on voice tone (prosody) independent of semantic content to detect basic emotions (happy, angry, neutral, etc.).
- Machine Learning: MLP (Multi-Layer Perceptron) artificial neural network model created using the Scikit-learn library.
- Feature Extraction: Analysis of 322 acoustic features (MFCC, Chroma, Mel Spectrogram) using Librosa.
- Voice Activity Detection (VAD): Live audio stream management and silence/speech separation with PyAudio.
- Hardware Integration: Real-time visual feedback using Raspberry Pi 4B, an I2C LCD screen, and GPIO LEDs.
Technologies Used: Python 3, Scikit-learn, Librosa, PyAudio, Raspberry Pi, I2C Communication Protocol.
EOG-Based Assistive Communication Interface (Biomedical Signal Processing)
Hardware & Firmware | Sep 2024 – Jan 2025
Developed for individuals who have lost speech or motor abilities, this assistive technology enables computer cursor control by detecting electrical potential changes around the eyes (EOG - Electrooculography).
- Analog Circuit Design: Design and simulation of an Instrumentation Amplifier (AD620) and active filter circuits (Notch & Band-Pass) to process microvolt-level signals.
- Signal Processing (DSP): Real-time filtering and noise reduction (EMG, 50Hz mains) of EOG signals using algorithms running on an ESP32 microcontroller.
- System Control: Detection of eye movements (right, left, up, down) and blink patterns to convert them into interface commands.
Technologies Used: C++ (ESP-IDF/Arduino), ESP32, Analog Electronics (Op-Amps, Active Filters), Biomedical Sensors.
Autonomous UAV / Drone Systems Development
Embedded Developer | Nov 2025 – Feb 2026
Software for Orange Cube / Pixhawk flight controllers to run autonomous flight missions, together with Raspberry Pi and Arduino companion boards programmed in C++ and Python. I implemented sensor fusion with an Extended Kalman Filter (EKF) and autonomous navigation logic. Technologies Used: C++, Python, Orange Cube / Pixhawk, Raspberry Pi, Arduino, MPU6050
Corporate Web Projects (mrtdekorasyon.com)
As a freelancer, I developed modern and responsive websites to establish the digital identities of various companies. For the mrtdekorasyon.com project, a user-friendly interface was designed alongside full database integration. Technologies Used: HTML, CSS, JavaScript, MySQL
TÜBİTAK 1812 (SERAVIP) Business Plan
SERAVIP: Investment-Based Entrepreneurship
Business Plan Prepared for the TÜBİTAK 1812 Program
Project Summary: SERAVIP is an AI-supported autonomous greenhouse management system aimed at increasing efficiency in the agricultural sector. The system detects plant diseases in early stages using image processing technology, while optimizing irrigation and climate control processes via integrated sensor networks.
Technical Innovations: Our project offers a sustainable model by operating entirely on solar panels. AI algorithms (Deep Learning) analyze plant growth data to provide an instant decision-support mechanism for farmers.
Market & Validation: The SERAVIP business plan is backed by comprehensive market research and competitor analysis (CropX, FarmBot, etc.). Our project has been presented numerous times to potential customers and investors, successfully validating its technical and commercial feasibility. You can review the detailed business plan, which includes technical specifics, financial forecasts, and market analysis, by using the download button above.
Get in Touch
Feel free to contact me for detailed information about my projects, collaboration opportunities, or technical discussions.