Mingyang Zhang
I am a computer vision engineer with a PhD and hands-on experience in developing deep learning algorithms, object tracking, and real-time embedded software.
About
I am a computer vision engineer with a PhD and hands-on experience in developing deep learning algorithms, object tracking, and real-time embedded software. I excel in deep learning, computer vision, 2D image processing, embedded systems, and FPGA-accelerated neural networks, turning complex ideas into reliable, efficient systems.
Drawing on experience from both academia and industry, I am an autonomous, solution-oriented engineer who delivers practical, results-driven outcomes and communicates clearly with cross-functional teams.
- 6 years' experience
- Joined March 2026
Languages
- EnglishFluent
- ChineseFluent
Industry experience
- Computers & Electronics
- Software & Internet
- Manufacturing
- Transportation & Logistics
- Professional Services
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Work experience· 4 roles
Developed and deployed embedded software for large-scale IoT food-waste monitoring devices; integrated sensors (I2C radar XM125, infrared ToF VL53L0X, weight sensors, cameras, environmental sensors) with real-time data fusion; built secure MQTT over TLS with JWT for fleet management on Google Cloud Platform and Balena Cloud; implemented robust networking (WiFi, WWAN, failover); worked in a Docker-based distributed system combining Go services with optimized C++ computer vision components, contributing to measurable food waste reduction for enterprise customers.
Evaluated RTOS for UAVs and identified critical issues; proposed a novel object tracking architecture leveraging temporal information; model designed with PyTorch; designed dedicated hardware accelerators for tracking on an FPGA-CPU heterogeneous platform with improved real-time performance; accelerators implemented with High-Level Synthesis (C/C++); created a multi-modal synthetic UAV dataset (Unreal Engine) to improve tracker accuracy and robustness.
Specialized in Embedded Systems and UAVs; managed lab infrastructure; teaching assistant for Real-time Operating Systems; mentored lab sessions and supervised Master theses.
Education· 6
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