Sai Ilapakurthi
Hardware Engineer at Google
San Jose, California, United States
Summary
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Senior🎓
Top SchoolSai Ilapakurthi is a hardware engineer with 9 years of experience designing and optimizing RTL for machine learning accelerators, currently contributing to ML hardware at Google after prior roles at Microsoft and Samsung. He combines hands-on Verilog and EDA tool expertise with scripting (Shell, Perl) to drive microarchitecture, timing optimization, and PPA improvements across NPUs and DL accelerators. Sai’s background spans academic research and teaching at Purdue to industry work on FPGA-based ML inference and custom ALU/ASIP blocks, giving him a strong bridge between architecture and implementation. He’s pragmatic about tooling and automation—having built scripts and a prediction tool for area/power—and enjoys electronics hobby projects around microcontrollers and IoT that inform his hardware intuition. Based in San Jose, he focuses on SOC design, digital logic, and computer architecture, bringing both systems-level perspective and detailed RTL craftsmanship to high-performance ML hardware.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Technology (B.Tech.) Electrical Electronics and Communications Engineering, Bachelor of Technology (B.Tech.) Electrical Electronics and Communications Engineering at National Institute of Technology, TiruchirappalliMaster's degree Electrical and Computer Engineering , Master's degree Electrical and Computer Engineering at Purdue University
Telugu, Hindi, Tamil, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (6)
arduino2
accelerometer2
midi2
audio1
music1
glove1
Github contributions (5)
saikamalkola/Self-Balancing-Robot
Mar 2017 - Jul 2017
Contributions:7 commits, 5 pushes, 1 branch in 4 months
saikamalkola/LineFollower
Oct 2016 - Jul 2017
Contributions:7 PRs, 15 pushes, 3 branches in 9 months
line-followerfollowerarduino
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