Tae Kong
Machine Learning Architect at Google
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolTae Kong is a Machine Learning Architect with a decade of experience designing high-performance hardware and software for ML accelerators, currently shaping next-generation TPU performance and cost trade-offs at Google. He brings deep computer architecture expertise from a PhD in Electrical Engineering at Stanford and years in the Stanford VLSI Research Group working on programmable accelerators and CGRAs. His background spans industry-grade digital design for mobile transceivers, adaptive QoS for Xilinx Versal, and on-device ML tooling at Meta, giving him a rare blend of silicon, system, and ML workload insight. Known for building simulators and semi-custom implementation tools, he excels at turning research into practical architecture decisions that optimize LLM workloads. Based in Sunnyvale, he combines academic rigor with production-focused engineering honed across top-tier labs and companies.
10 years of coding experience
6 years of employment as a software developer
Bachelor's degree Electrical and Computer Engineering, Bachelor's degree Electrical and Computer Engineering at Seoul National UniversityHigh School Diploma, High School Diploma at Korean Minjok Leadership AcademyDoctor of Philosophy - PhD Electrical Engineering, Doctor of Philosophy - PhD Electrical Engineering at Stanford University
Github Skills (30)
registers9
fpga8
python8
asic8
eda7
hardware6
modular6
uvm6
soc5
cortex-a4
gjs4
cortex4
gnome3
arm3
zephyr3
Programming languages (4)
Github contributions (5)
kongty/lapidary
Aug 2022 - May 2024
Contributions:23 pushes in 1 year 8 months
kong0329/.configs
Apr 2018 - Jul 2019
Contributions:12 pushes, 1 branch in 1 year 3 months
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