Position: Machine Learning Engineer
Category: Data Science
English level: fluent
Years of experience: 6

I once trained a bespoke computer vision model for reproductive cell assessments on less than 800 images which beat Google's Vision AutoML and a group of medical imaging PhDs.

More recently, I solved a document tagging problem using a BERT-based model for NER and covered four business use cases in one go. Also used synthetic data generation and the model mentioned above to grow a multilingual dataset.
Worked on NLP, CV, and time series projects. Led and mentored a team of 3 junior engineers. Among other things was also an MLOps, incrementally building and managing our ML infrastructure.