"A highly skilled professional with over 13 years of teaching experience and 4 years in the corporate sector, I am currently pursuing a PhD focused on Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and Generative Adversarial Networks (GAN). My academic background includes expertise in the Design and Analysis of Algorithms, Relational Database Management Systems (RDBMS), specifically PostgreSQL, and cutting-edge technologies in AI. My teaching experience spans various levels, where I have effectively mentored students in core computer science subjects and advanced technologies.

 

In addition to my teaching, my corporate experience has enriched my understanding of how emerging technologies like AI, ML, and DL can be applied to solve complex business problems. I have hands-on experience with GANs, particularly in areas such as data generation and creative applications. My proficiency in designing efficient algorithms and managing large-scale databases through PostgreSQL further complements my AI-driven research, enabling me to work on scalable solutions.

 

My PhD research focuses on exploring the latest advancements in AI, ML, DL, and GAN, aiming to contribute to the field's growth. I am committed to integrating academic knowledge with industry practices, ensuring real-world impact through innovative solutions."