ABOUT // IDENTITY & APPROACH

About Me & This Workshop

I am a student who enjoys building things, understanding systems, and learning by going deeper than the first explanation.

Learning by Building and Investigating

My interests span both hardware and software. I do not want to limit myself to only one layer of a system. I want to understand how physical components, electronics, firmware, and higher-level software work together.

I am currently studying embedded systems, circuit analysis, C programming, and technical reporting. In the future, I want to study Assembly and continue developing my programming skills with C++, Python, Rust, and other technologies.

I love open source, freedom, and making things that are useful, unusual, or simply fun. I am using this website to document my progress, express myself, share what I build, and find people who enjoy learning and creating together.

I am currently studying Electrical and Electronics Engineering at Bülent Ecevit University. I am still exploring my exact future specialization, but I am especially interested in areas where hardware, software, human judgment, and practical engineering meet.

Diagram showing three connected layers: Layer 1 Circuits and Electronics, Layer 2 Embedded and Low-Level C Programming, and Layer 3 Tools and Human Judgment.
Connecting physical circuits, low-level code, and high-level software tools rather than treating them as separate worlds.

Why I Want to Understand Both Sides of a System

Core Principle

“I want to understand both hardware and software because I do not want to depend completely on tools or people who understand the parts I do not. My goal is to understand systems deeply enough to make decisions, guide AI effectively, recognize when something is wrong, and take responsibility for what I build.”

The Car Analogy

I often think about technology through a simple car analogy: if I want to drive a car responsibly, I should understand at least the basics of its steering, dynamics, brakes, and other important systems. If I understand how the car works and how to drive it, I can make good decisions, recognize problems early, teach someone else, and know what to ask for when something needs attention.

I want to approach AI in the exact same way. I know AI is changing both hardware and software workflows, and I use AI tools when experimenting. However, I do not want to use AI blindly. I want to understand systems deeply enough to guide AI, evaluate its output, recognize mistakes, and take responsibility for the final result.

Learning Reverse Engineering Honestly

I am also interested in reverse engineering, and I am interested in understanding how software and systems work internally. I am still learning reverse engineering and experimenting with reverse-engineering tools—I do not pretend to be an expert.

So far, I have experimented with tools such as Cheat Engine, Ghidra, and x64dbg to investigate and configure aspects of online game mechanics. In some of those experiments, AI tools generated or helped with parts of the code, and I did not yet fully understand every part of the underlying code that was produced.

Being honest about that gap is important to me: that experience is actually what pushed me to study low-level programming, C, and future Assembly more seriously. My goal is not to pretend that I already understand everything—my goal is to understand more each time I investigate a system.

Areas I Am Studying & Exploring

Current Focus

  • Hardware and software interaction
  • Embedded systems & microcontrollers
  • Electronics & circuit analysis
  • C programming
  • Building and testing real systems on breadboards
  • Technical documentation and reporting

Next Learning Milestones

  • Assembly language fundamentals
  • Deeper C++ and systems programming
  • Python for tooling and conversion scripts
  • Rust for reliable systems software
  • Learning reverse engineering (Cheat Engine, Ghidra, x64dbg)

Future Directions Under Exploration

  • Embedded systems & physical computing
  • Robotics, RC vehicles, and autonomous systems
  • Firmware analysis & hardware-software security
  • Open-source hardware and software tools