Aman Srivastav is an Assistant Professor in the Department of Computer Science and Engineering with expertise in Data Science, Machine Learning, Artificial Intelligence, and Database Management Systems. He holds an M.Tech in Data Science from Delhi Technological University (DTU), Delhi. His research interests include Machine Learning, Deep Learning, Natural Language Processing, Graph Neural Networks, Software Defect Prediction, and Explainable Artificial Intelligence. His M.Tech thesis focused on Early Stage Bug Detection and Triaging Using Machine Learning Approaches, where he developed predictive models for software quality assessment using advanced machine learning techniques.

He is actively engaged in academic research and is working towards publishing research papers in reputed Scopus and SCI-indexed journals. His current research explores transformer-based language models, graph-based learning, and intelligent software engineering applications. Alongside research, he teaches undergraduate engineering students, delivering courses in Machine Learning, Python Programming, Data Structures, Database Management Systems, and Artificial Intelligence. He is committed to promoting practical learning through industry-oriented projects, coding practices, and research-driven education, helping students develop strong analytical, problem-solving, and technical skills for careers in data science and software engineering.