Ms Archana K P
Assistant Professor
About
Assistant Professor in the Department of Intelligent Computing and Business Systems (ICBS) at SJEC, Mangaluru. M.Tech in Data Science, with research interests in NLP, Large Language Models, Generative AI, Agentic AI, and Machine Learning.
Education Qualifications
| Sl.No | Qualification Level | University | Area of Specialization | Year of completion | Awards | ||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | M.Tech | Amrita Vishwa Vidyapeetham | Data Science | 2026 | |||||
Work Experience
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 and contributed to frontend development and application functionality.
Research Areas
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Artificial Intelligence and Machine Learning
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Natural Language Processing (NLP)
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Large Language Models (LLMs)
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Generative AI
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Agentic AI and Multi-Agent Systems
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Deep Learning
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Code-Mixed and Multilingual Language Processing
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Transformer Architectures
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Text Classification and Text Analytics
Conference Proceedings
Paper Title: Byte-Level Tokenization over MuRIL and Multitask Learning for Classification Tasks in Code-Mixed Dravidian Languages
Conference: Fourth International Conference on Speech and Language Technologies for Low-resource Languages (SPELLL 2025)
Organizing Institution: Indian Institute of Information Technology Kottayam
Year: 2025
Workshop/FDPs Attended
Completed the 5-Day AI Agents Intensive Course with Google and Kaggle. Gained practical knowledge of multi-agent system design, Agent-to-Agent (A2A) communication protocols, AI agent orchestration, task delegation, and autonomous AI workflows.
Generative and Agentic AI – A Research Perspective (LTTP)
Completed a 6-day Long-Term Training Programme (LTTP) organized by CMR Institute of Technology, Bengaluru, focusing on Generative AI, Agentic AI, modern AI techniques, and research perspectives.
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.
