Vansh Setpal

Background

About Vansh Setpal

Graduate student in Data Analytics Engineering with a strong foundation in data science, and applied machine learning and artificial intelligence. My experiences span both academic research and industry applications, where I have contributed to projects involving deep learning, natural language processing, financial modeling, enterprise AI systems and MLOps for scalable model deployment and monitoring. My research interests include: Deep learning and multimodal data fusion Natural language processing Financial analytics and market regime modeling Structural health monitoring and nondestructive evaluation (NDE) Currently, I am: Working full-time on defect detection in subsurface concrete structures using NDE methods Pursuing a side project on market regime-based inference for financial signals Exploring LLM watermarking for building trustworthy and secure AI systems I enjoy working in collaborative, research-driven environments that foster innovation and continuous learning. I am always open to collaborations in the finance and NLP domains.