Summary
Devasena Inupakutika is a Staff Performance Engineer at Samsung Semiconductor with 12 years of experience bridging research and production software in wireless communications, mobile computing, and cloud–IoT integration. She holds a Ph.D. in Electrical Engineering from UT San Antonio, where her dissertation applied deep learning to wireless LAN indoor positioning and technology-assisted digital healthcare using wearable data pipelines. At Samsung she progressed from intern to senior and now staff performance engineer, focusing on systems software performance and real-world deployment constraints. Her background combines academic rigor—teaching and research roles at UTSA and the University of Southampton—with industry-grade software engineering from Accenture and semiconductor systems work. Notably, she blends low-level performance tuning with ML-driven sensing applications, making her adept at turning experimental algorithms into scalable, performant solutions.
12 years of coding experience
14 years of employment as a software developer
University of Texas at San Antonio
Master of Science - MS Robotics and Automation, Master of Science - MS Robotics and Automation at The University of Salford
B-Tech Electronics and Communication Engineering, B-Tech Electronics and Communication Engineering at MITS University
Kendriya Vidyalaya Sangathan
Telugu, English, French, Hindi