I worked on the problem of resume parsing for a year and a half. Pretrained language models helped us generate tons of Named Entity Recognition models that do a pretty decent job finding entities! This worked out pretty great for cities, names, businesses, universities. The real hard part is piping all the NERs to groupers that yield accurate groupings. Sometimes your NER misses a school but has a degree, related project descriptions and a graduation date. You have to re-run the NER on that area and make a best guess or give up. Lots of interesting applied NLP engineering problems there! I gave up though. If someone has more patience, I think this approach can really improve things.
Some MOBA history! An early derivative of DOTA, Heroes of Newerth (HoN), came out a bit before DOTA 2 and was at one time competing with LOL for the top DOTA clone. HoN had chosen a much closer to DOTA approach and was for its first 2 years almost an exact clone with a new snappy engine. All the DOTA purists went here and as a result, it was the most toxic video game community I've ever experienced. Great game but it had a very clear impact on one's mental health and attitude.
Seconding IBKR. I've always viewed them as the most ethical broker and also the one with the highest skill ceiling. They do not sell order flow, they offer programs like the above so you can earn interest when they loan your shares out to other individuals or institutions, and let you get very granular about things like your exchange routing.