I think all serious researchers have implemented core Deep Learning algorithms from scratch. I know I have.
There are two books that do exactly this:
1. Deep Learning from Scratch
2. Data Science from Scratch
In these books, you implement each part of the ML/DL pipeline, from scratch, in Python.
There is also a GitHub project call Minitorch that teaches you the inner workings of a framework like PyTorch.
And then there are several other good resources for exactly this.
What he claims to have as a content is neithet new nor unique.