Electronics and Communication Engineering graduate with expertise in Wireless Communications and Digital Electronics. Proficient in circuit design, VLSI, MATLAB, signal processing, IoT, and microcontrollers. Committed to applying technical skills and academic background to solve real-world problems and data-driven decision-making. Focused on optimization and continuous learning in a dynamic professional environment.
Developed a hybrid beamforming strategy for MU-MIMO in mmWave communication systems, leveraging a convolutional neural network (CNN) to optimize spectral efficiency, and demonstrated the improved spectral efficiency compared to traditional fully digital and analog beamforming methods
Developed a 2×2 MIMO-GFDM model integrating SLM and NIPS, achieving ~2.8 dB PAPR reduction and improved SER, enhancing spectral efficiency and power amplifier performance for 5G systems
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