Akio Lin
Software Engineer at ITRI
Hsinchu City, Taiwan, Taiwan
Summary
👤
Senior🎓
Top SchoolAkio Lin is a software engineer based in Hsinchu City, Taiwan, with eight years of hands-on experience in embedded and Linux-based systems. He currently develops H.264 video phone and V2OIP/IPTV solutions at ITRI, blending real-time multimedia streaming expertise with practical systems engineering. His open-source work includes hardware-software integration for Google's CFU-Playground, adding board support, framebuffer display, and SPI card settings—demonstrating a knack for bridging ML hardware experiments and embedded platforms. Trained with a Master's in MIS from National Chiao Tung University, he combines a strong systems background with applied research instincts. Colleagues describe him as a pragmatic problem-solver who iterates quickly on device-level firmware and integration challenges. Notably, he brings both low-level driver experience and higher-level streaming architecture knowledge, making him effective across the full embedded stack.
8 years of coding experience
Master, MIS, Master, MIS at National Chiao Tung University
c++
Github Skills (9)
embedded10
verilog10
sys10
tflm8
tflite8
tensorflow8
c117
python7
c177
Programming languages (7)
Github contributions (5)
google/CFU-Playground
May 2021 - Aug 2021
Want a faster ML processor? Do it yourself! -- A framework for playing with custom opcodes to accelerate TensorFlow Lite for Microcontrollers (TFLM). . . . . . Online tutorial: https://google.github.io/CFU-Playground/ For reference docs, see the link below.
Role in this project:
Embedded Systems Engineer / IoT Developer
Embedded Systems Engineer / IoT DeveloperContributions:1 review, 11 commits, 10 PRs in 2 months
Contributions summary:Akio primarily contributed to integrating hardware and software aspects within the repository, specifically supporting the QMTECH Wukong board. Their work involved adding board-specific support files, modifying build configurations, and integrating a framebuffer for displaying images. The user also incorporated settings for a SPI card, indicating an interest in expanding the project's hardware capabilities. Furthermore, they made modifications to menu-driven example code, likely for testing purposes.
machine-learningtflmfasteronline-tutorialtensorflow-lite
akioolin/litex-boards
May 2024 - Mar 2025
LiteX boards files
Contributions:25 pushes in 9 months
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