Dr. Lalit Johari is a Professor of Computer Science with over 18 years of experience in teaching, research, and mentoring students in programming, artificial intelligence, and data science. His academic and research interests include machine learning, text mining, data extraction, and AI-driven applications.

Dr. Johari has extensive experience guiding undergraduate, postgraduate, and research scholars in research methodology, thesis development, and academic publishing. His work focuses on applying machine learning techniques such as Random Forest, Support Vector Machines, and ensemble methods to solve real-world problems in areas such as customer analytics and medical data analysis.

In addition to his academic work, he actively explores practical applications of AI by developing digital tools and MicroSaaS platforms that simplify tasks in education and career development. He frequently engages in knowledge sharing through training sessions, workshops, and technical discussions related to Python programming, data science, and emerging AI technologies.

Dr. Johari is passionate about helping learners and professionals understand complex AI concepts in a practical and accessible way while promoting responsible and impactful use of artificial intelligence.