Semantic segmentation of LIDAR data in autonomous vehicle using SqueezeSeg V2

I am looking for someone to help me with semantic segmentation of LIDAR data in autonomous vehicle using the newest SqueezeSeg V2 neural networks model. This project would require setting up the environment with the Python programming language. I will also need someone to optimize the performance and accuracy of the models using various optimization methods such as gradient descent and ADAM optimization. This project is essential for autonomous vehicles, so accuracy and fast performance will be crucial. I'm looking for someone with expertise in using neural networks and strong coding background in Python to complete this project.