Abhishek Kumar Pandey is an Assistant Professor in the School of Computer Science & Engineering at IILM University, Gurugram, specializing in Natural Language Processing, Generative AI, and Deep Learning. His doctoral research focuses on neural text generation and question answering systems, with a distinctive thread connecting India’s ancient knowledge traditions with modern AI through Sanskrit and Vedic NLP. Alongside his research, he has worked as a Data Scientist building production-grade Generative AI systems, including Retrieval-Augmented Generation pipelines and multi-agent architectures — an industry background that shapes his applied approach to teaching.

He serves as a reviewer for reputed international journals, including Springer, and has taught and mentored students in Python, Artificial Intelligence, and Machine Learning through structured, hands-on, project-based learning. His current research interests include Generative AI, Agentic AI, Large Language Models, Vision-Language Models, Retrieval-Augmented Generation, and low-resource language processing. At IILM University, he aims to build a strong bridge between cutting-edge AI research and classroom learning, while advancing research in language technologies for Indian and low-resource languages.

Educational Qualification

• Ph.D., Computer Science & Engineering, Vellore Institute of Technology (VIT), Vellore
  – Area: Neural Text Generation, Question Answering Systems, and Sanskrit/Vedic Natural Language Processing
• M.Tech., Computer Science & Engineering, R.G.P.V. University, Bhopal
• B.E., Computer Science & Engineering, R.G.P.V. University, Bhopal

Research and Scholarly Publication

JOURNAL PUBLICATIONS

• “Natural Language Generation Using Sequential Models: A Survey”, Neural Processing Letters (Springer), December 2023.
• “Extractive Question Answering Over Ancient Scripture Texts Using Generative AI and Natural Language Processing Techniques”, IEEE Access, 2024.
• “CANBLWO: Hybrid Semantic Text Generation Model (CNN + Bi-LSTM + Whale Optimization Algorithm)”, IAJIT, 2024.
• “Attention-Based Bidirectional LSTM Model for Data-to-Text Generation”, Advances in Computational Intelligence and Its Applications, 2024.

BOOK CHAPTERS

• Co-authored book chapter on IoT-based pneumonia detection, contributed in collaboration with fellow researchers at VIT Vellore.
• “Protein Sequence Classification Using Convolutional Neural Network and Natural Language Processing”, in Handbook of Machine Learning Applications for Genomics, Studies in Big Data (vol. 103), Springer, Singapore, 2022.