Devasena Inupakutika

Staff Performance Engineer at Samsung Semiconductor

Rockville, Maryland, United States
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Summary

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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.
code12 years of coding experience
job14 years of employment as a software developer
bookUniversity of Texas at San Antonio
bookMaster of Science - MS Robotics and Automation, Master of Science - MS Robotics and Automation at The University of Salford
bookB-Tech Electronics and Communication Engineering, B-Tech Electronics and Communication Engineering at MITS University
bookKendriya Vidyalaya Sangathan
languagesTelugu, English, French, Hindi
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Stats
103reputation
2kreached
1answer
3questions
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Github Skills (26)

zynq8
effort7
xml6
google-fit6
api6
meteor6
android6
package6
event-handling6
javascript6
sustainability6
google-analytics6
react5
nodejs5
administration5

Programming languages (5)

DockerfileJavaScriptJupyter NotebookFortranPython

Github contributions (5)

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Contributions:507 pushes in 7 years 2 months
Contributions:117 commits, 113 pushes, 2 branches in 4 months
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Devasena Inupakutika - Staff Performance Engineer at Samsung Semiconductor