As a developer, I had the opportunity to create a private chatbot application from scratch. This project involved developing a chatbot that allows users to upload personal documents for Q&A interactions, so I no longer need to read and study documents manually. To enhance my personal skills, I also implemented functionality to generate quizzes from JSON-formatted data. Additionally, I integrated OpenAI's GPT-API for language model interactions and implemented a deployable LLM using Ollama for local machine learning model deployment.

As a founding member, I contributed from the start of the Nao robot project. Training AI for robots requires substantial data, and since teaching real robot movements is time-consuming, I used the Pygame library to create simulation games. These simulations generated the data needed to train the robots and explore digital twin concepts.

For perception tasks like recognizing balls, fields, and other robots, I used the OpenCV library. For planning, I applied reinforcement learning algorithms from the Stable-Baselines library to optimize robot behavior. For robot control, I used the codebase of B-Human, the 2020 RoboCup champions, to ensure effective movement execution.

As a hobby, I engage in Raspberry projects. I recently purchased an BME280 chip, soldered it, and developed a simple web system that processes data in the cloud. This setup allows me to manage my schedule and monitor the temperature and humidity in my room.