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Rahul Vimalkanth I am a pre-final year undergraduate student in Electrical Engineering at IIT Madras. My research lies at the intersection of Computer Vision, Robotics, Machine Learning and Generative AI. Currently, I am a Young Research Fellow (YRF) at IIT Madras, collaborating with KLA Corporation to architect lightweight efficient vision models for anomaly detection on edge devices, advised by Prof. Kaushik Mitra. Simultaneously, I serve as a Research Associate at the Computational Imaging Lab working on privacy-preserving lensless imaging. Previously, I worked on dynamic scene understanding and robot perception at the Robert Bosch Centre for Cyber-Physical Systems, IISc Bangalore, advised by Prof. Pradipta Biswas.
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ResearchI am interested in bridging the gap between perception, learning, planning and reasoning to advance the generalization capabilities of autonomous robotic systems. |
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Enhancing Financial RAG with Agentic AI and Multi-HyDE: A Novel Approach to Knowledge Retrieval and Hallucination Reduction
A.G. Srinivasan, R.J. George, J.K. Joe, H. Kant, H. M R, S. Sundar, S. Suresh, Rahul Vimalkanth, Vijayavallabh EMNLP (10th Workshop on FinNLP), 2025 arXiv We propose a novel agentic RAG framework utilizing Multi-HyDE and state machines to significantly reduce hallucinations and improve the accuracy of knowledge retrieval in complex financial contexts. |
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