I'm an educator, researcher, and lifelong learner passionate about making technology meaningful and accessible. My work lives at the intersection of computer science and education, where I help students unlock the power of problem-solving through programming—especially in C—and translate complex AI concepts into intuitive, self-paced learning experiences.

My research focuses on deep learning, with a current emphasis on personalized recommendation systems and reinforcement learning. I'm exploring hybrid models that bridge multiple domains, aiming to improve how we understand user behavior across platforms. Whether it's LSTMs, GANs, or autoencoders, I thrive on bringing theoretical models to real-world relevance.

Let's build things that matter—intelligently, ethically, and with purpose.