Three beliefs that quietly run everything I do.
I believe that knowledge only becomes truly mine when I use it. Reading about how a lathe works is one thing; standing in front of the machine, feeling the vibration, and turning a rough metal bar into a precise part is something completely different. Practice turns information into understanding.
After every project or experiment, I ask myself three questions: What went well? What went wrong? What will I do differently next time? In my Circuit Fundamentals Lab, for example, my first circuits rarely worked on the first try — but each failure taught me to check connections systematically instead of guessing.
I see learning as a lifelong habit rather than a task. Music teaches me patience and discipline; reading and films open windows to worlds I have never seen; sports remind me that progress comes from consistent effort. Everything I learn, inside or outside the classroom, shapes the person I am becoming.
Looking back on my projects — from soldering boards and tuning sensors for the line-following car, to producing an English video with AI tools, to building a teaching agent that actually went live — I have found that the hardware project taught me rigor and patience (one badly tuned threshold and the car goes off track), while the AI agent project taught me fast learning and system design (a poorly planned architecture means rework everywhere downstream). These two experiences seem one slow and one fast, but they are the same engineering mindset at work.
I am also honest about my weaknesses: my algorithm skills still need systematic improvement — which is exactly why I am preparing for the Lanqiao Cup — and my engineering experience so far remains at the course and project level, without exposure to real production environments. Naming these gaps is the first step to closing them.