FATİH KÜÇÜKBIYIK

Dynamic software developer with extensive experience in programming languages, software design, and debugging, ready to contribute effectively in this role. Proven ability to collaborate within teams to drive projects to successful completion while maintaining a strong focus on delivering results. Recognized for reliability, adaptability, and a solution-oriented mindset that fosters innovation and efficiency. Committed to leveraging technical expertise to tackle complex challenges and enhance overall project outcomes.

SAVUNMA401

Digital Signal Processing – Butterworth IIR Filter  Implementation

• Designed and implemented a 2nd-order Butterworth low-pass IIR filter from first principles.
• Acquired real-time audio data using Arduino Nano and MAX4466 electret microphone module.
• Derived analog filter coefficients analytically and converted to digital form using the Tustin (bilinear) transform.
• Implemented the IIR difference equation manually in Python without using built-in DSP filtering functions.
• Processed audio at 52 kHz sampling rate; cutoff frequency set to 3 kHz.
• Generated and analyzed original, filtered, and 8:1 downsampled audio signals (WAV format).
• Integrated hardware-level signal acquisition with software-based DSP analysis.
• Technologies: Arduino, Python, NumPy, SciPy, Serial Communication, DSP

Autonomous Driving Technologies 

• Developed a series of autonomous driving and ADAS mini projects focused on core concepts used in modern self-driving systems.
• Implemented motion planning and control strategies for emergency braking, lane changes, and intelligent speed assistance.
• Built basic sensor fusion and state estimation models to combine noisy sensor data for improved vehicle state awareness.
• Conducted Hazard Analysis and Risk Assessment (HARA) and derived Functional Safety Requirements (FSR) based on ISO 26262 safety standards.
• Demonstrated clean software design and OOP principles through a C# code quality example with unit testing.
• Tools & languages: MATLAB/Simulink, C#/.NET, xUnit.

Computer Networks – Real-Time Multiplayer Number  Guessing Game

• Developed a real-time client–server application using Python (Flask) and Socket.IO.
• Implemented a multiplayer architecture allowing multiple clients to connect simultaneously over a network.
• Designed an event-driven communication protocol between frontend and backend using WebSocket based messaging.
• Managed server-side game state, player sessions, scoring logic, and ranking updates.
• Implemented custom game logic with real-time score calculation and leaderboard synchronization.
• Built a responsive web-based frontend using HTML, CSS, JavaScript, and Bootstrap.
• Deployed the server to listen on 0.0.0.0 to enable access from multiple devices on the same network.
• Technologies: Python, Flask, Flask-SocketIO, WebSockets, TCP/IP, HTML, JavaScript

Smart Agent – Q-Learning Based Grid World Application  

• Developed a smart agent that learns to reach a target in a grid-world environment using the Q Learning algorithm.
• Implemented state–action representation and reward–penalty mechanisms to enable reinforcement learning.
• Designed a dynamic environment with obstacles and goal positions to train the agent under varying scenarios.
• Built an interactive Android interface using Jetpack Compose to visualize agent behavior and learning progress.
• Technologies: Kotlin, Reinforcement Learning, Q Learning, Android, Jetpack Compose

• Turkish, Primitive Language
• English, Upper-Intermediate (B2), YDS: 66.25, Berlitz Level 6
• Spanish, Beginner