Engineering graduate with expertise in Cloud Infrastructure, ServiceNow development, IoT systems, and VLSI design. Skilled in Python, MySQL, and Reinforcement Learning, with hands-on experience delivering scalable solutions in automation, communication networks, and intelligent systems. Certified AWS Solutions Architect and ServiceNow Administrator, with a strong track record of industry projects and internships.
IoT-Enabled Smart Shoe for Terrain Analysis and Real-Time Feedback, Developed a smart shoe system integrating multiple sensors to classify terrain types (soft, hard, uneven) and provide real-time feedback. Designed hardware and software for data acquisition, processing, and actuator control using IoT technologies. The project also involved Bluetooth-based data transmission to a mobile application for monitoring environmental and terrain parameters. Wireless D2D Communication Optimization using Deep Reinforcement Learning, Designed and simulated a Multi-Agent Reinforcement Learning (MARL)-based framework using Proximal Policy Optimization (PPO) to optimize energy efficiency and reduce latency in 6G Device-to-Device (D2D) communication networks. The system achieved high throughput (4663.30 Mbps), low latency (0.22 ms), and 100% QoS using adaptive spectrum sharing strategies. Evaluated system performance through simulations and benchmarked against traditional static allocation techniques.