reinforcement Q learning in ROS turtlebot project

I am Currently doing my academic project on deep Q learning, I need help in order to understand some concepts related to reinforcement learning, Deep Q learning, neural network, Hyper parameters etc. also, I need help devloping some python codes. I am using ROS ( Robot operating system) Kinetic on Linux 16.04 LTS. so someone who has already worked will be preffered. I also need help in development of some code which are almost 50% ready. I have also made the hardware where I want to import my weights from neural network. its a Quite interesting project. so any one up for the opportunity? I am ready to pay. specific requirement / pre knowledge of 1. deep reinforcement learning 2. ROS Gazebo related simulation knowledge. 3. python and machine learning algorithm developments. 4. Who has already worked with Linux and Nvidia Jetson Nano (Jetpack) 5. ROS Kinetic