I am a Ph.D. candidate in the Department of Electrical and Computer Engineering, with a minor in Mathematics, at the University of Arizona, Tucson. My research primarily focuses on the intersection of information theory and machine learning. I also have a keen interest in the area of wireless communication.

Current research interests

  • Machine Learning for LDPC Decoders (Low-Density Parity-Check Decoders): Improving BER/FER (Bit Error Rate/Frame Error Rate) using neural networks.
  • Machine Learning for URLLC (Ultra-Reliable Low-Latency Communications): Enhancing error correction for latency constrained communications.
  • Machine Learning for Change Detection: Developing reliable change detection methods for high-dimensional inputs.
  • Machine Learning for Hybrid Beamforming: Employing neural networks to obtain the transmit and receive beamforming vectors.


Leading weekly lab sessions for the course Computer Programming for Engineering Applications (ECE 175), where I assist students in mastering programming and debugging techniques in C.


Degree Institution Dates
Ph.D. University of Arizona 2024
M.S. University of Arizona 2019
B.E. Ramaiah Institute of Technology 2011


Position Institution Dates
Staff Engineer Marvell Technology 2024–Present
DSP Error Control Codes Intern Marvell Technology 2023
Research Engineer Intern NTT Docomo 2022
Software Engineer Robert Bosch Engineering and Business Solutions 2015–2017
Software Engineer Intern Robert Bosch Engineering and Business Solutions 2015