Chinh Dang
@chinhdang
I build Edge AI and backend systems for real-time data applications.
What I'm looking for
I've built an offline Edge AI device for elderly health monitoring and behavior recognition, processing ECG and accelerometer signals in real time without cloud dependency.
For my capstone project, I developed signal-processing pipelines, extracted 40+ HRV features with SciPy and NeuroKit2, and deployed lightweight models for arrhythmia, ectopy, and stress detection. I also built a YouTube data and audio analytics system using Python, Hugging Face Wav2Vec 2.0, FastAPI, and MongoDB.
As a Backend Developer Intern and Team Lead, I led backend design for a delivery and order-placing website, creating RESTful APIs, defining client-server architecture, and coordinating team tasks.
Experience
Work history, roles, and key accomplishments
Backend Developer Intern
Team Lead Internship
Led the backend team in designing and building a delivery / order-placing website. Designed RESTful APIs and the client–server architecture, and coordinated tasks across team members.
Education
Degrees, certifications, and relevant coursework
Danang University of Science and Technology
Bachelor of Engineering, Computer Engineering
2021 -
Grade: 2.6 / 4.0
Pursuing a Bachelor of Engineering in Computer Engineering with a focus on AI and backend development. Graduation thesis on Edge AI-integrated device for health monitoring and behavior recognition in elderly care.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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