CV
Education, experience, skills, and projects.
Contact Information
| Name | Zhengyu Hua |
| Professional Title | EE Student |
| yuhuazheng@zju.edu.cn |
Professional Summary
A student with cross-disciplinary background in Computer Science and Electrical Engineering, focusing on embedded systems, edge AI deployment, and signal processing.
Experience
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2024 - present Hangzhou, China
Westlake University visiting student
Encode lab
Embedded systems and edge AI deployment.
- Deployed deep learning models for UAV detection on NVIDIA Jetson using TensorRT and MNN framework.
- Built Docker-based reproducible development environment.
Education
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2024 - 2028 Hangzhou, China
Bachelor
Zhejiang University
Computer Science
- Cross-disciplinary studies in CS and EE
- Coursework: Digital Signal Processing, Analog Circuit Design, Machine Learning, Computer Architecture, etc.
Skills
Programming Languages (): C++, Python, MATLAB, Verilog
Tools & Frameworks (): Docker, TensorRT, MNN, uv, Git, CMake, LaTeX
Hardware & Embedded (): NVIDIA Jetson, FPGA, Oscilloscope, PCB Design
EE Fundamentals (): Analog Circuit Design, Signal Processing, Electromagnetic Theory, Control Systems
Projects
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UAV Model Deployment on NVIDIA Jetson
Deployed deep learning models for UAV detection on NVIDIA Jetson using TensorRT and MNN framework. Achieved real-time inference with optimized performance in Docker containers.
- TensorRT INT8 quantization
- MNN framework performance optimization
- Docker environment for reproducible deployment
-
Multi-stage BJT Operational Amplifier Design
Designed and simulated a multi-stage BJT op-amp with targeted gain, bandwidth, and stability specifications using SPICE simulation.
- Frequency response analysis
- Stability margin optimization
Languages
Chinese : Native speaker
English : Fluent
Interests
Embedded Systems & Edge AI: Model Compression, TensorRT, NVIDIA Jetson, Real-time Inference
Circuit Design & Signal Processing: Analog IC, DSP, Maxwell's Equations, Control Theory