Gaussian process, bayesian statistics, gradient descent (python)

Hi, I am finding a person who understands Gaussian process (GP) very well. I am thinking of applying some optimization methods such as gradient descent, Newton's method, and L-BFGS on GP. You can see this work is going to be pretty intense in math and coding. The good thing is that I have all the code and basic guidelines. The collaborator should understand GP very well in general. If you are committed to using this package (https://gpytorch.ai/) or other gp tools, I am happy to talk deeply. I may use some Bayesian optimization techniques by using this tool as well (https://botorch.org/). Let me know if you are committed to working on some math, coding, and GP with me.