As a philosopher and multidisciplinary engineer in the early stages of my career, I have dedicated myself to the study and application of the theory of luck, a groundbreaking scientific discovery concerning the organization of unpredictability. My research began from scratch, creating the first stochastic dynamic luck system in collaboration with ChatGPT, leading to the first-ever computation of luck and the discovery of its governing principles.

Extracting new knowledge from models like GPT is a core part of my work. Based on my philosophical assumptions about luck, interdisciplinary knowledge, creativity, and critical thinking, I have developed a comprehensive scientific approach to understanding and mathematically modeling unpredictability. This approach has applications across various fields, from biology and neurology to quantum physics and economics.

One of the most significant innovations I have co-developed as a developer is the first fully autonomous stochastic neural network, capable of self-training and reaching validation accuracy levels of 98%.

As a Udemy instructor, my goal is to bring these innovations to the public. My courses will not focus on basic concepts or theories, but instead, they will equip you with the most advanced practical tools for solving real-world problems in a future driven by technology and innovation.