Pradeep M

To work in an innovative and challenging environment that will utilize my skills and provide simulating opportunities for my career growth and also for the development of the organization.

• I got a certificate in android studio work shop in “Muthayammal Collage of Engineering”, in Rasipuram.
• I got a certificate in “GUVI’S RAP SKILL-A-THON 2020”.
• I got a certificate in National Conference on Advance in Communication, Artificial Intelligence and optimization Techniques, in Jai Shriram Engineering Collage, Tirupur.
• Software Testing: Successfully Completed Manual Testing and Automation Testing Training Program at Besant Technologies, Bangalore.

Project Title: Muliti Agent Deep Reinforcement for dynamic power allocation in wireless networks, Objective: This project mainly focuses on controlling the traffic fluctuations, Project Description: This work demonstrates potential of deep reinforcement learning techniques for transmit power control in wireless network. Existing techniques typically find near-optimal power allocation by solving a challenging optimization problem. Most of these algorithms are not scalable to large networks in real world scenarios because of their computational complexity and instantaneous cross cell channel state information requirement. A distributively executed dynamic power allocation schema is developed based on model free deep reinforcement learning. I have use nuero fuzzy algorithm it’s used to resolve the optimization problem and control the traffic fluctuations., Languages Used: JAVA

I solemnly declare that all the above information is correct to the best of my knowledge and belief