I have been involved in Python programming and machine learning for more than ten years. I started with basic Python scripts out of curiosity, and this interest grew into a passion for artificial intelligence and data science. Over time, I have worked on various open-source projects, which helped me improve my skills and connect with others who are also interested in advancing machine learning.

I believe in learning by doing, especially with hardware. To truly understand machine learning, it's important to know how the hardware affects performance. I've worked with a range of devices from GPUs to TPUs, aiming to find the right mix of power, efficiency, and practicality. It's not just about having the newest technology; it's about finding what works best for each situation. Through TensorScience, I want to share what I've learned and encourage others to explore how software and hardware interact in data science.