Kavyanjali Agnihotri

I’m a master’s student in Machine Learning at the University of Tübingen, currently working as a student assistant on the Scholar Inbox. Before this, I interned at Cisco in Bengaluru, focusing on improving deployment pipelines and automating error analysis. My main interests are in Deep Learning, Natural Language Processing, and building practical ML systems—like my project on generating lecture notes by fine-tuning BERT models and creating knowledge graphs. I’ve also worked on small projects ranging from depth-aware neural style transfer to chatbots for visually impaired students. I was a finalist at the JPMC Code for Good Hackathon and received the ELIZA stipend for 2024–25. I enjoy tackling real-world problems with technology to make a difference.