I have been involved with Python programming and machine learning for nearly 20 years, working to understand and improve these areas. I started learning when AI technology was just beginning and worked with early versions of Python and algorithms behind today's smart systems. My focus has been on not just learning but also creating new ideas that have helped develop computational models and machine learning tools used by businesses and researchers worldwide. I am passionate about teaching and have written several papers and tutorials to help others understand these complex topics in an engaging way.

I work with the latest hardware to improve machine learning, making sure it works well with software. I've worked with hardware designers to make systems that help data scientists and developers get what they need. At TensorScience, I use my skills to write detailed analyses, honest reviews, and give practical advice for both new programmers and experienced ones. I want to help connect new hardware with advanced software, and I'm happy to be part of the tech community that wants to explore new possiblities.