About Me
Download CV
I started my education at Akdeniz University and transferred to Hitit University, where I am currently in my 4th year studying Electrical and Electronics Engineering.
As an innovative and result-oriented engineer candidate who constantly aims for self-improvement, I combine my analytical thinking skills with my expertise in languages like Python and C.
I have developed complex projects on embedded systems (Arduino, ESP32, Raspberry Pi, Orange Cube).
Currently, I am deepening my knowledge in artificial intelligence and image processing, focusing on the multidisciplinary applications of these technologies.
Simultaneously, I have delivered professional solutions in web technologies leveraging my HTML, CSS, JS, and database skills.
Core Skills
Software & Development
Hardware & Embedded Systems
Domain Expertise
Work & Internship Experience
ASELSAN & ASELSAN NET
Engineering Intern | 1 MonthDuring my internship at Turkey's leading defense industry organization, I had the opportunity to observe and participate in R&D processes regarding military communication systems, satellite communication technologies, and electronic warfare systems. I gained in-depth experience in the engineering discipline, R&D workflows, and the design principles of mission-critical systems.
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
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)
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
R&D studies focused on autonomous flight missions utilizing various microcontrollers and industrial flight controllers. In this project, integration with an Orange Cube flight controller was achieved, and Raspberry Pi and Arduino platforms were programmed using C and Python. Advanced developments were carried out on sensor fusion and autonomous navigation algorithms. Technologies Used: C++, Python, Orange Cube, 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.