Akit is a Ph.D. student at the iSchool, specializing in generative AI and data-science project management. His research focuses on developing AI-driven tools to streamline project workflows, including a generative AI bot that assists students and researchers by providing structured guidance and managing tasks through interactive Kanban boards. Beyond project management, Akit explores how social factors like morality and persuasion influence the diffusion of misinformation in social networks, using machine learning and natural language processing to analyze these dynamics.
In addition to his research, Akit has significant industry experience, having worked as a Software Engineer at Thermo Fisher Scientific and Mphasis, where he led AI-driven test automation initiatives and developed performance testing frameworks. His technical skills include proficiency in Python, Java, and R, along with expertise in machine learning frameworks such as TensorFlow and PyTorch.
Akit is also dedicated to teaching, having served as both an instructor and teaching assistant at Syracuse University in courses like Introduction to Data Science, Big Data Analytics and Natural Language Processing. He was also part of the team that developed the “Building Human-Centered AI Applications” course, which focused on creating applications like conversational agents, Q&A bots, and goal-oriented assistants. This course explored key topics such as prompt engineering, AI conversational memory, output evaluation, and responsible AI practices.
You can find Akit on LinkedIn.