Marco Yang
CEO at Broodio Technology
Shenzhen, Guangdong Province, China
Summary
👤
Senior🎓
Top SchoolMarco Yang is a Shenzhen-based CEO and embedded systems engineer with eight years of experience combining hardware manufacturing leadership and hands-on IoT development. He founded and runs Broodio Technology, a manufacturer and distributor specializing in video game accessories, digital instrument panels, PCBs and SMT assembly for wholesale and retail clients. Marco’s background spans product engineering roles at Atmel and software work at New Port Media, giving him a rare blend of supply-chain, manufacturing and firmware expertise. He contributes to OpenAtomFoundation’s TobudOS, integrating TensorFlow Lite Micro person-detection demos on camera-equipped embedded boards, highlighting practical AI-on-device skills. Known for bridging business operations with low-level engineering, he leverages Shenzhen’s hardware ecosystem to iterate from prototype to production.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science (BS), Computer Software Engineering, Bachelor of Science (BS), Computer Software Engineering at Liuzhou, Guangxi China
Chinese, English
Github Skills (8)
computer-vision10
embedded10
tensorflow-lite10
micro10
stm10
microcontroller10
sys10
lcd8
Programming languages (2)
Github contributions (5)
OpenAtomFoundation/TobudOS
Dec 2020 - Feb 2021
开放原子开源基金会孵化的物联网操作系统，捐赠前为腾讯物联网终端操作系统TencentOS Tiny
Role in this project:
Embedded Systems Engineer / IoT Developer
Embedded Systems Engineer / IoT DeveloperContributions:16 commits, 2 PRs in 2 months
Contributions summary:Marco primarily contributed to the integration of a person detection application using TensorFlow Lite Micro on an embedded system. Their work involved initializing the person detection model, converting image data, and integrating with camera and LCD components. The commits demonstrate direct interaction with hardware initialization, including the DCMI and OV2640 camera module, to capture and display processed images. They also added documentation and guides for implementing the TensorFlow Lite Micro demo.
yangqings/NotesHub
Sep 2020 - Jun 2021
Contributions:348 pushes, 1 branch in 9 months
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