I started as a beginner in machine learning and Python, but now I have gained a lot of knowledge and expertise. My interest began with wanting to understand how machines learn. This led me to spend many hours coding and trying things out. Over time, I learned a lot about machine learning algorithms and how they can be used in real life. I enjoy sharing what I know through TensorScience, where I talk about Python programming and the latest hardware that improves machine learning. My aim is to help others in this exciting field by providing well-researched and practical information in a simple and friendly way.

I have always been interested in the hardware behind smart systems, alongside my work in software. I have looked into GPUs, TPUs, and other technology to find a good mix of cost and performance for machine learning projects. Understanding hardware goes beyond just knowing the specifications; it's about knowing how these parts work efficiently in real-life situations. At TensorScience, I help people, from beginners to experts, make smart hardware choices for their projects. Whether you are improving neural networks or working with Python, my advice is meant to help you succeed in the fast-changing tech world.