Nithin Holla

Nithin Holla is a Machine Learning Engineer currently working at Channable, focusing on utilizing large language models to extract structured information from unstructured product data for improved integration between webshops and marketplaces. Previously, Nithin served as a Machine Learning Engineer at Amberscript, where responsibilities included building data pipelines and training deep learning models for automatic speech recognition, as well as designing microservices to enhance subtitling efficiency. Nithin also gained valuable experience as a Graduate Teaching Assistant and researcher at the University of Amsterdam, and undertook several internships, including work on acronym disambiguation in Electronic Health Records at CTcue and item recommendation modeling at Inria Saclay. Nithin holds a Master's degree in Artificial Intelligence from the University of Amsterdam and a Bachelor's degree in Electronics and Communication Engineering from the National Institute of Technology Karnataka.