I'm Taha Shieenavaz
I am a deep learning researcher specializing in reinforcement learning. I have a deep interest in Deep RL, DQN, PPO, and other state-of-the-art architectures, focusing on how these models can optimize real-world decision-making.
To support my research, I leverage over a decade of technical experience in software engineering. While I am proficient in Python, Node.js, and Laravel, I primarily use these skills to build robust backend services and research tools. In 2021, I was awarded a WorldSkills medal in Web Technologies—a testament to my technical foundation.
I dedicate a significant portion of my time to researching topics related to probability, trading, and investing. I also balance my university studies with freelance projects and teaching practical programming and trading concepts to aspiring developers and traders.
Timeline
Therefore, it is extremely easy to calculate my age >=> 2026 - 2000 = 26
I started with basic languages such as Visual Basic, QBasic and Small Basic.
I invested in a costly course using all of my allowance for two months, and I began learning about web development.
I began creating and selling websites using solely the popular platform WordPress.
At this point, I was already familiar with web security and common vulnerabilities such as SQL injection and cross-site scripting. Therefore, I began developing dynamic applications using PHP.
I found PHP to be repetitive; Laravel came to the rescue.
When I began my studies at the university, I also learned to create machine learning applications using TensorFlow and scikit-learn.
To create quality applications, I needed to follow polyglot architecture.
I honed my skills and participated in a highly competitive environment. I was thrilled to have won the bronze medal, and it was inspiring to see so many innate talents gathered in one place.
I moved to Italy and started my studies in the field of Artificial Intelligence and Robotics at the University of Padua. This university is a leader in its field, renowned for its cutting-edge research.
I held a 20-hour workshop on the basics of probabilistic learning and fundamental machine learning techniques at Kharazmi University. We covered regression and classification using the Boston Housing and Iris datasets.