Exact inference, rejection sampling approach, and Gibbs sampling inference in a Bayesian network. c++

I'm looking for an experienced AI programmer to help me with a project involving exact inference, rejection sampling, Gibbs sampling inference and approximate inference in a Bayesian network, using C++. The project will involve using the acceptance-rejection sampling method to perform approximate inference, the Gibbs sampling algorithm and exact inference. The final goal of this project is to develop a reliable and efficient program that performs these tasks accurately and quickly. The 3 methods to be implemented are in the file ReseauBayesien.h. I have an allotted budget, so please make sure to provide an honest and reasonable quote when submitting a proposal. I'm looking forward to receiving your offers and finding the perfect partner for this project!