Sopan Sarkar is a Ph.D. candidate in Electrical and Computer Engineering at the University of Arizona with nine years of experience spanning academic research and industry internships focused on advanced wireless systems, including 5G/B5G and millimeter-wave communications. He applies AI/ML—especially reinforcement learning—to practical problems like 5G user localization and beam-tracking optimization, and has prototyped solutions on platforms from USRP to Raspberry Pi. His industry experience includes two Keysight EDA software internships where he contributed GUI-driven enhancements, reflecting an ability to bridge algorithmic research and user-facing tools. Skilled in C/C++, Python, and MATLAB, Sopan combines deep theoretical training with hands-on embedded and RF system development, and is actively seeking internships to translate his research into deployable telecom solutions. An explorer by disposition, he brings a track record of moving complex wireless concepts toward practical implementation.
9 years of coding experience
3 years of employment as a software developer
The University of Arizona
Master of Science - MS, Computer Engineering, 4.0, Master of Science - MS, Computer Engineering, 4.0 at The University of Alabama in Huntsville
Engineer’s Degree, Applied Physics, Electronics and Communication Engineering, 3.7, Engineer’s Degree, Applied Physics, Electronics and Communication Engineering, 3.7 at University of Chittagong
Software, firmware and hardware designs for Ubertooth
Contributions:3 pushes in 4 months
rp2040nrf52firmwaredesignshardware-designs
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