Dr. Anjali R

Faculty Description

            Dr. Anjali R, working as an Assistant Professor(Sr.Gr) in the Department of Computer Science and Engineering. She received her B.E degree and M.E degree in Computer Science and Engineering from Anna University, Chennai and completed her Ph.D degree in Information and Communication Engineering at Anna University, Chennai. She has about 10 years of teaching experience and 1 year in IT industry as a Researcher, AI Content Specialist, QA Expert(Freelancer). She has published a paper in the annexure international journal, a paper in the international conference, a paper in the online journal and published a book on “Exploratory Data Analysis”. Her research work in “Medical Image Processing” has been tested and recognized by a clinical physician. Her areas of research include Image Processing, Artificial Intelligence and Deep Learning.

       She has taken department in charges of Association and Technical Training (A Placement Improvement Initiative) in Sri Ramakrishna Engineering College. Her subject expertise includes Image Processing, Deep Learning, Neural Networks, Web Technology, Programming and Data Structures, Computer Programming, Artificial Intelligence, Graph Theory and Applications, Artificial Intelligence, Object Oriented Programming, Problem Solving and Python Programming, Database Management Systems, Problem Solving and Programming in C, Data Pre-processing and Visualization, Full Stack Software Development, Augmented Reality & Virtual Reality.

              She has worked for the client “Google” and supported the projects of NotebookLM , Vertex AI and Gemini in the field of Gen AI and Prompt Engineering. Tested NotebookLM for its accuracy in the area of Deep Neural Networks. Tested Google’s Gemini AI model for its accuracy towards the Tamil language and its culture in a deeper sense by analysing attributes. Tested Vertex AI model for its accuracy towards the Tamil language and its culture in a deeper sense by analysing various attributes like food, dress, literature and cinema, folk dance and music, social norms, mythology, image, video, video+text-overlay. Scored 90/100 in the Gen AI and Prompt Engineering Assessment and been selected to train the LLM with adversarial prompts and allotted as a QA Expert for Red Teaming.