Ms Archana K P
Assistant Professor
About
Assistant Professor in the Department of Intelligent Computing and Business Systems (ICBS).Holds an M.Tech in Data Science, with research interests in Artificial Intelligence, Machine Learning, Natural Language Processing, Large Language Models, Generative AI, and Agentic AI.
Education Qualifications
| Sl.No | Qualification Level | University | Area of Specialization | Year of completion | Awards | ||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | M.Tech | Amrita Vishwa Vidyapeetham | Data Science | 2026 | |||||
| 2 | B.Tech | APJ Abdul Kalam Technological University (KTU) | ECE | 2021 | |||||
Work Experience
Current
Assistant Professor - Department of Intelligent Computing and Business Systems (ICBS)
Previous
React Developer - GJ Global IT Ventures Pvt. Ltd.
Worked as a React Developer from March 2022 to July 2024, gaining approximately 2 years and 5 months of professional experience in the IT industry. Developed and maintained web applications using React.js, implemented reusable UI components, and contributed to frontend development and application functionality.
Research Areas
My research interests include Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, and Generative AI. I am particularly interested in Large Language Models, multi-agent systems, and intelligent text classification, with a focus on developing robust and efficient AI-driven approaches to address complex real-world problems. My research also explores emerging AI technologies and their applications across diverse domains.
Conference Proceedings
Archana K P , Premjith B, “Byte-Level Tokenization over MuRIL and Multitask Learning for Classification Tasks in Code-Mixed Dravidian Languages,” Proceedings of the Fourth International Conference on Speech and Language Technologies for Low-resource Languages (SPELLL 2025), Indian Institute of Information Technology Kottayam, 2025.
Workshop/FDPs Attended
AI Agents Development: Multi-Agent Orchestration and A2A Protocols - Completed a 5-day intensive course conducted by Google and Kaggle, focusing on multi-agent architectures, Agent-to-Agent (A2A) communication, orchestration mechanisms, task delegation, and autonomous AI workflows.
Generative and Agentic AI - A Research Perspective (LTTP) - Participated in a 6-day Long-Term Training Programme organized by CMR Institute of Technology, Bengaluru, covering Generative AI, Agentic AI, emerging AI methodologies, and research-oriented applications.
Conferences attended
Fourth International Conference on Speech and Language Technologies for Low-resource Languages (SPELLL 2025) - Presented the research paper titled “Byte-Level Tokenization over MuRIL and Multitask Learning for Classification Tasks in Code-Mixed Dravidian Languages” at SPELLL 2025, organized by the Department of Computer Science and Engineering, Indian Institute of Information Technology Kottayam, from December 18-20, 2025.
