Alan Green
Software Engineer at IMC Trading
Newcastle-Maitland, New South Wales, Australia
Summary
🤩
Rockstar🎓
Top SchoolAlan Green is a pragmatic software engineer with 10+ years of professional experience who thrives on ill-defined problems and complex technical challenges. With a long tenure at Google spanning ML, FPGA person-detection, and large-scale platform changes, he now brings that systems-level rigor to IMC Trading. He pairs low-level engineering—contributions to projects like flashrom and CFU-Playground that touch hardware, firmware and ML acceleration—with hands-on automation and tooling expertise. Based in Newcastle-Maitland, Australia, he’s comfortable shipping production code across embedded systems, microcontroller ML, and cloud-scale services. Colleagues rely on him to turn ambiguous requirements into reliable, maintainable solutions that serve real users. An often-overlooked strength is his ability to refactor and standardize legacy codebases, improving consistency and long-term operability.
10 years of coding experience
23 years of employment as a software developer
BarkerUniversity of Technology Sydney
Github Skills (23)
c-language10
firmware10
software-update10
devtools10
automation10
sys10
updater10
embedded10
automations10
flash-memory10
cprogramming-language10
hardware-interface9
c119
spi9
machine-learning9
Programming languages (11)
Github contributions (5)
google/CFU-Playground
Nov 2020 - Oct 2022
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:
ML Engineer & Low-Level Systems Programmer
ML Engineer & Low-Level Systems ProgrammerContributions:151 reviews, 826 commits, 183 PRs in 1 year 11 months
Contributions summary:Alan primarily worked on developing and integrating custom instructions (CFUs) to accelerate TensorFlow Lite for Microcontrollers (TFLM) within the google/cfu-playground repository. Their contributions focused on refactoring existing code, integrating software-based CFU emulation, and incorporating example code to exercise the CFU instructions. They demonstrated proficiency in the low-level implementation of compute acceleration through the design of these domain specific instructions.
machine-learningtflmfasteronline-tutorialtensorflow-lite
flashrom/flashrom
Jun 2019 - Jan 2021
Send patches to https://review.coreboot.org: https://www.flashrom.org/Development_Guidelines#GitHub
Role in this project:Embedded Systems Engineer / Automation Engineer
Embedded Systems Engineer / Automation EngineerContributions:27 commits in 1 year 7 months
Contributions summary:Alan primarily contributed to the `flashrom/flashrom` repository by modifying and maintaining the `flashchips.c` file, which appears to contain definitions for various flash memory chips supported by the project. Their contributions involved ensuring code consistency through whitespace and formatting adjustments, along with adding and modifying chip definitions, including vendor names and model IDs. Furthermore, the user worked on updating and refining the FT2232 SPI programmer, indicating a focus on automation and hardware interaction aspects of the project.
github-guidelinesfirmware-updatecorebootdevelopment-guidelinesreview
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