ECE / Data / Embedded / ML / Radar
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I am an Electronics and Communication Engineering student with hands-on experience in radar signal processing, electromagnetic simulations (2D FDTD), and biomedical sensing applications. I have worked extensively with MATLAB for simulation, machine learning-based depth estimation, and stripmap SAR imaging. My academic work includes circuit design, RTL/digital systems, FFT implementations, and analog simulation using Eldo and Virtuoso.
I enjoy solving real-world problems using signal processing, simulation, and ML models, and I’m actively exploring opportunities in embedded systems, radar sensing, data analytics, and research-oriented engineering roles.
Electronics and Communication Engineer with hands-on experience in radar signal processing, electromagnetic wave simulation, and biomedical sensing applications. Skilled in 2D FDTD modeling, MATLAB-based SAR imaging, and machine learning–driven depth estimation using Random Forest and XGBoost. Experienced in digital circuit design, RTL development, MATLAB/Simulink workflows, and analog simulation using Eldo and Virtuoso.
Demonstrated ability to solve engineering problems through simulation, data analysis, and algorithm development. Strong interest in research-oriented engineering, embedded systems, and signal/data-driven applications.
Pursuing a Bachelor of Technology in Electronics and Communication Engineering with strong academic exposure to radar signal processing, electromagnetic simulation, digital logic design, and analog/mixed-signal circuits. Coursework and projects include MATLAB-based FDTD simulation, biomedical radar depth estimation, SAR imaging, embedded systems, and VLSI circuit design using Virtuoso and Eldo. Demonstrated excellence in applying theoretical ECE concepts to simulation, algorithm development, and machine learning–driven engineering applications.