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 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 now looking for my next role at the intersection of science, engineering, and product, somewhere I can take ambiguous problems from research all the way to systems that real users rely on. 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. I’m open to strong roles, and equally to building something of my own.