Great article! The most important part for others reading this: Narrowing your niche down attracts specific types of clients who have specific needs that few p

Great article! The most important part for others reading this: Narrowing your niche down attracts specific types of clients who have specific needs that few people in the world can solve. My expertise is NLP/ML for Asian language processing and language education. When defining your specialty, I think it helps if you define it in terms of the industry, not in terms of an ML stack. People look for, e.g., “AI solutions for healthcare” and “text analytics for finance,” not for “GANs” or “Seq2Seq models.” You need to be willing to learn a very wide range of ML techniques and models, from simple regression to GANs and RL, no matter what industry you work in. In other words, define your niche in terms that make it easy for someone with budget authority to say "yes" to hiring you. This is worth noting also because if you accidentally cross over into talking with recruiters or other gate-keepers to the real budget authority holders, you'll be misled into talking or padding your resume with technical terms that are not the key value drivers for why you'd get a nice-paying contract.