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KaMing Cheung
Junior Software Engineer specializing in full-stack and machine learning
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CMU IoT coursework project builder who implemented an end-to-end TinyML gesture recognition system on a Particle Photon + ADXL345, streaming data via MQTT/Node-RED to a real-time Node.js frontend and deploying a quantized logistic regression model on-device. Also explored multi-drone coordination, implementing leader-follower offset control and a pivot/arc turning strategy to avoid collisions, and brings practical Docker/Kubernetes plus CI/CD workflow experience from internships.
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Key Strengths
- Built an end-to-end IoT/TinyML pipeline (sensor collection → MQTT/Node-RED → real-time frontend → on-device inference)
- Optimized ML for constrained devices via feature reduction and quantization
- Strong debugging/troubleshooting across networking and real-time data flows (MQTT, HTTP, WebSockets)
- Designed multi-drone coordination behavior with offset control and turn/pivot strategy to reduce collision risk
- Hands-on experience with Docker/Kubernetes and CI/CD workflow setup (linting/checks)
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