I have always been interested in how algorithms work together with computing power. I contribute to TensorScience, where I share my love for Python, machine learning, and the hardware that supports these fields. I started my journey in academia, balancing learning machine learning theories with practical experiments. Over time, I have taken on different roles, such as coding neural networks and testing the performance of GPUs and CPUs. My goal is to make complex ideas easy to understand and encourage others to explore new possibilities in technology.

I enjoy writing Python scripts and working with hardware details. I see myself as someone who connects software and hardware fans. Understanding the equipment behind the programming helps in creating better software. On TensorScience, I cover topics like tensors and transformers and review new gadgets that support our digital world. Whether you have lots of experience or are new to data science, my goal is to give you clear advice to improve your skills in machine learning. Let's explore how coding and computing continue to grow together.