I hold a Ph.D. in Computer Science, with an emphasis on Neural Networks & Deep Learning, Information Storage & Retrieval, Software Development, and Distributed Systems. My educational journey is grounded in the rigorous study of advanced topics within the realm of computer science, complemented by an array of technical skills ranging from Python, PyTorch, and TensorFlow to machine learning techniques such as CNNs and Transfer Learning.

Over the last six years, my teaching journey has spanned multiple roles and responsibilities. As a Tenure track Assistant Professor at Lincoln University and later as an Adjunct Instructor & Teaching Assistant at the University of Louisiana at Lafayette, I've engaged with students from diverse backgrounds and varying levels of proficiency. These roles allowed me to oversee and facilitate courses such as INFX 240 (Information Technology Infrastructure) and INFX 320 (Information Assurance and Security), where I successfully introduced students to both the theoretical and practical dimensions of computer science. My teaching style always emphasizes creating an inclusive, engaging environment that bridges theoretical paradigms with real-world applications. My pedagogical approach is marked by interactive lectures, in-depth discussions, hands-on labs, and collaborative projects. Notably, as a Graduate Teaching and Research Assistant, I also held the responsibility of grading and occasionally delivering lectures for INFX 370 (Interactive Web Development) for six consecutive semesters, which gave me a unique insight into tailoring my teaching methods for students with varied expertise levels.

I've had the privilege of teaching students of diverse age groups, ranging from young adults entering university for the first time to seasoned professionals looking to further their education. Regardless of age or background, my goal has always been to foster an environment where students feel seen, heard, and empowered to pursue their academic and professional ambitions.