Signal Processing · Radar · RF-SoC
I design Radar systems and embedded signal processing — from SDR-based ionospheric radar and MIMO antenna arrays to ML-based signal classification. Turning complex electromagnetic problems into real, deployable systems.
Design and development of a machine-learning-based signal classification running on the Xilinx ZCU208 RF-SoC platform, achieving a dramatic reduction in processing latency through hardware-software co-optimization.
SDR-based ionospheric radar using complementary waveforms for ionospheric research, developed during internship at INGV Rome.
📄 Published Paper · doi.org/10.1016/j.asr.2025.04.072 ↗Metamaterial-inspired microwave sensor for non-invasive detection of the Red Palm Weevil — a destructive agricultural pest — using RF resonance signatures. Designed entirely in CST Studio Suite.
SASTRA Deemed University · Thanjavur, India
First Class Honours
Whether it's an RF system design challenge, embedded signal processing, or research collaboration — I'm always interested in hearing about new projects.