Yes, we’ve seen companies using transformers for similar use cases. If you don’t have a lot of labelled data, it usually involves a mix of zero-shot classification to understand the sections (ex: https://huggingface.co/facebook/bart-large-mnli?text=2001+-+2003+harvard%2C+master+in+management&labels=school%2C+job%2C+hobbies&multiclass=false 75) and then NER to extract the right information for the right classes (https://huggingface.co/dslim/bert-base-NER?text=I+worked+at+Facebook 53). Sometimes you want to add entity linking to the mix depending on how elaborate a system you need.
Would you be open to jump on a call to see if some of our commercial offering could be useful or are you looking at doing that all by yourself?