SML is standardized which is useful if you want to build an implementation for academic purpose. I don't think anyone seriously uses it outside academia however.
I have worked professionally with Standard ML for a few years, but my friends and I used to joke that I was probably the only professional Standard ML developer in existence.
A portfolio management website (frontend and backend) and a portfolio performance calculation engine. You're welcome to contact me on my personal email, if you want to hear more.
