Embedded / IoT Architect · Smart Hardware Delivery · AI-Enabled Engineering
10+ years in embedded systems and IoT delivery, with hands-on ownership across Matter, LoRaWAN, smart lighting, smart home, logistics devices, platform reuse, mass production, and cross-team issue closure.
// Move repetitive work into platforms and automation
void solve_laziness_with_tech()
{
platform_reuse();
automation_tools();
faster_delivery();
}For smart hardware, IoT platform, and mass-production teams, I bring end-to-end engineering capability from architecture and platform design to toolchains and delivery.
I turn one-off delivery work into reusable platforms, engineering standards, and automation workflows, reducing rework, defects, and delivery risk while helping teams validate new products faster. Core belief: use platformization, automation, and AI toolchains to amplify engineering output.
Led the FFO application framework and CBB component library; adopted across multiple product lines, onboarding shortened to ~2 weeks, code reuse +80%, and defect rate -35% YoY.
Drove CI/CD, build cache, static analysis, and AI-assisted development practices to reduce low-value repetitive work and standardize build, review, documentation, and release flows.
Hands-on from requirements review, technical selection, and architecture through certification and mass production; strong at WBS, risk control, customer communication, and cross-team coordination.
500K+ smart hardware units/year, LoRaWAN latency and OTA success improvements, lower customer complaints and defect density — all backed by clear metrics.
Context: Large-scale LoRaWAN devices, batch OTA, and cluster management across Andon, warehouse logistics, and other latency-sensitive scenarios.
Context: Internal need for cross-chip, modular firmware platform across product lines.
Context: Alexa-connected bulb, switch, plug; Matter over Wi-Fi; overseas certification and volume delivery.
Context: OMP central control, smart switches, smart hotel solutions.
Context: With almost no front-end/back-end experience on the team, deliver a full CartSBL demo and delivery UI within a tight deadline.
Concord University College, Fujian Normal University · B.S. Electronic Information Science and Technology · 2010.09 - 2014.06
From drivers to platform — able to own core modules and system design independently.
Use abstraction and automation to cut rework so teams can focus on innovation and business.
Work well with hardware, test, production, and customers; drive issues to closure and enjoy mentoring.
Systematically use AI for coding, review, and docs — combined with platform toolchains to validate ideas faster and reduce low-value repetition.