Nagilli Chitti Keerthana
AI/ML engineer and Applied AI master's student
Summary
Applied AI graduate student and practitioner: Enrolled in an MS in Applied Artificial Intelligence at Stevens Institute of Technology and described on professional profiles as focused on AI/ML and LLM systems. researchgate
Research contributor in wireless communications and DRL: Listed as an author on multiple research publications that apply deep reinforcement learning methods (MADDPG, DDPG) to problems in MIMO-NOMA and backscatter NOMA networks. researchgate+2
Practical industry and internship experience: Has held short-term industry roles including project intern at Nokia and data analyst at Shadowfax, and an AI internship at NxtCRM AI, indicating hands-on experience across industry analytics, internships, and AI roles.
Hackathon and project-focused builder: Active on Devpost with projects such as Audible Frames and participated in Stevens QuackHacks with projects like SurroundShield, showing involvement in hackathons and project-driven prototyping. devpost+1
Work
Education
Projects
Writing
MADDPG-Driven Uplink Secrecy Optimization for Multi-User MIMO-NOMA Networks
Research work applying MADDPG to uplink secrecy optimization in multi-user MIMO-NOMA networks.
Cooperative NOMA-Based Spectrum Leasing with Multiple Secondary Users
Research on cooperative NOMA-based spectrum leasing in networks with multiple secondary users.
DDPG-based Sum Rate Optimization for Opportunistic Backscatter NOMA Networks
Research applying DDPG for sum-rate optimization in opportunistic backscatter NOMA networks.
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