Waterloo Aerial Robotics Group
Embedded flight software, motor-driver architecture, PID-based attitude management, and thrust modeling.
Embedded Systems / Robotics / Applied AI
Building hardware that feels precise, intelligent, and alive.
I am Jiarong (Bill) Lu, a Computer Engineering student at the University of Waterloo focused on embedded flight software, STM32 firmware, compact PCB systems, and AI-assisted engineering workflows.
University of Waterloo BASc CandidateWARG Embedded Flight SoftwareSTM32, BLDC, FOC, PID
5STM32 hardware products supported at Studica
<0.1 degTarget angular positioning precision in motor control
2Microsoft certifications in cloud and AI fundamentals
Current FocusMotor control firmware and compact embedded hardware
Embedded Focus
Precise control. Clean systems. Real hardware.
I build embedded software and hardware-adjacent systems that prioritize stability, compact design, and product-level clarity.
STM32Firmware, sensing, control, integration
BLDCMotor drivers, PID, closed-loop control
AIApplied tools, workflow acceleration, systems thinking
BLDC Control StackWaterloo / Shanghai
Selected work.
Three areas that define the current direction of my work.
Mindmatrix
Compact BLDC driver boards, torque testing, and precise STM32-based control loops.
Learn moreGlory Media
Production-minded AI workflows, analytics systems, and knowledge-based tools.
Learn moreProjects.
Embedded devices, AI platforms, and engineering workflow tools.
Automatic Water Quality Monitor
STM32-based water analysis with sensing, propulsion, and a custom physical build.
BridgeNet
Education and networking platform with modern web tooling and AI-assisted support.
AI-Assisted Calibration
Engineering workflow concepts that reduce repetitive manual calibration and testing work.
University of Waterloo
Candidate for a Bachelor of Applied Science in Computer Engineering, expected June 2029. I am building depth in embedded systems, hardware-software integration, and engineering design.
Microsoft Fundamentals
Microsoft Certified: Azure Fundamentals and Azure AI Fundamentals, both issued in June 2025.
Open to internships and technical collaboration.
If you are building in robotics, embedded systems, or applied AI, I would love to connect.
Start a conversation