I’m an M.Sc. student in Artificial Intelligence & Machine Learning at Technische Universität Darmstadt and an ELIZA Scholar at the Konrad Zuse School of Excellence in Learning and Intelligent Systems. Before moving into ML research, I spent over two years as a Software Engineer at Zeus Learning, building production-grade React applications. My research interests center on multimodal foundation models and trustworthy AI; I’m currently developing a research proposal with Dr. Yue Feng (UKP Lab, TU Darmstadt) on the multimodal evaluation of scientific documents, focused on factual consistency and cross-modal alignment across text, figures, and tables. My most recognized work is my bachelor’s thesis, Saathi – An AI Companion for Emotion & Mental Disorder Detection using Deep Learning, which placed 4th nationally at IIT Bombay RESCON and was published at INSCIRD-2023 (IEEE Students’ Branch). My honors include the ELIZA Scholarship and the RESCON placement.
© Ankita Upadhyay