Shailza Jolly

Hi! My name is Shailza Jolly. I am an ML Scientist/Engineer with a Ph.D. in Computer Science and 6+ years spanning academic research and industry, specializing in LLMs, Generative AI, and scalable data pipelines.

I completed my Ph.D. at TU Kaiserslautern, where I worked with my advisor Prof. Andreas Dengel, focusing on developing machine learning methods for building natural language generation and understanding systems in data-constrained settings. My research interests include vision and language systems, interpretability, and conversational AI.

I completed my Master’s in Computer Science from TU Kaiserslautern and spent a semester abroad at Kyushu University in Japan, where my work How do Convolutional Neural Networks Learn Design? won the Best Student Paper Award at ICPR 2018. I was also named AI Newcomer of the Year 2021 by the German Informatics Society and BMBF. I completed my Bachelor’s from GNDEC, India.

During my studies and career, I have worked at Amazon AI, NVIDIA Research, Amazon Alexa, SAP AI Research, and the German Research Center for Artificial Intelligence (DFKI).

I have been a visiting researcher in the labs of Prof. Seiichi Uchida, Prof. Lili Mou, and Prof. Isabelle Augenstein.

Over the past year I’ve been building and experimenting independently: refreshing my modern LLM foundations, going deep on agentic systems and retrieval, and shipping hands-on prototypes.

I’m exploring venture opportunities in GenAI and agentic systems. My research background lets me get up to speed on hard problems quickly, my engineering work means I write the code and ship it, and I’m at my best translating between technical and business goals, mapping product KPIs to the metrics that move them.