Working students at the Industrial Data Lab: refining skills in a real-life environment

Ekaterina: gaining practical experience from Russia to France to Germany

Ekaterina has been a working student at Bosch Digital for almost six months now, gaining her first professional experience in Germany. She is currently completing her master’s degree at Faculty 5 of the University of Stuttgart with a focus on Natural Language and Speech Processing. This is a good opportunity to put the knowledge learnt in lectures into practice and apply Deep Learning (DL) methods to real-world scenarios. Ekaterina is mentored by a team of specialists at Bosch Digital. “The guidance from senior colleagues with a PhD in my field of interest is very valuable to me,” Ekaterina explains.

Her background includes pre-sales engineering for SAS Institute Russia/CIS (2018-2021), which involved customizing ML solutions for various industries in collaboration with colleagues around the world. During her one-year master’s program in France, Ekaterina conducted a small R&D project in computational semantics using PyTorch to extract entities from texts. Following this more scientific approach, she felt it was important to gain industry experience and applied to Bosch Digital.

“I’m currently involved in an NLP project focused on GDPR – identifying sensitive documents, anonymizing data, and doing multiclass document classification with few annotated samples. This is a great opportunity to explore few-shot learning techniques, such as SetFit, as well as gain hands-on experience in fine-tuning NER models and packaging them into user-friendly APIs while delivering value to an inspiring company like Bosch Digital,” Ekaterina summarizes.