Passionate, hardworking and detail-oriented final-year Electronics and Communications Engineering student with a keen interest in digital/RTL design & verification, computer architecture, and FPGAs. Currently exploring the intersection of traditional Indian knowledge systems and modern science through an IKS internship, diving deep into signal processing. My journey includes developing a TensorFlow-based CNN for disease detection in rice plants, earning recognition at Smart Agrothon 2023. I've also led a team in creating a TensorFlow-based CNN for disease detection in potato plants using Raspberry Pi.In a summer internship, I programmed a Kalman filter in C and VHDL, overcoming time constraints during an internship to enhance drone altitude accuracy with infrared and pressure sensors. Simultaneously, I'm steering a collaborative effort to implement FFT on an FPGA board for sound track separation.Known for being hardworking and collaborative, I thrive in diverse teams, leveraging my skills in signal processing, FPGA programming, and a holistic approach to problem-solving. Excited to contribute and innovate at the intersection of hardware and software, I am constantly seeking new challenges in the ever-evolving field of electronics and communications engineering.