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Harry Nguyen

Hey, I am Harry Nguyen

I am a passionate Machine Learning Engineer / Data Scientist. I am always eager to challenge myself and seek new opportunities to grow and contribute to the AI field.

About Me As a Machine Learning engineer and Data Scientist, I have a passion for researching and applying AI to solve real-world problems.

Get to know me!

Hello World! My name is Harry Nguyen and I'm a Machine Learning Engineer / Data Scientist located in Sydney. I have nearly 3 years of experience in the AI domain, working on various R&D projects, which include Computer Vision, Natural Language Processing and Machine Learning.

I am currently pursuing my master's degree in Data Science and Innovation at University of Technology Sydney, where I hope to deepen my knowledge and skills in AI and data science, and explore new breakthroughs and innovations that could revolutionize our life.

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My Skills

Python
Pytorch
Tensorflow
Scikitlearn
Docker
Wandb
GIT
OpenCV
Pandas
Matplotlib
Seaborn
Notebook

Projects A collection of my AI projects, which includes Computer Vision, Exploratory Data Analysis and Machine Learning projects.

Software Screenshot

License Plate Recognition

Focused on accurately identifying and recording vehicle license plates, this initiative aims to streamline entry and exit processes within parking lots. Utilizing advanced image processing and pattern recognition algorithms, the system can efficiently recognize license plates, facilitating seamless access control and improving overall security.

The system is deployed on NVIDIA Jetson Xavier device and being applied efficiently by our clients in both Korean and Russian.

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Software Screenshot

Multi-Camera Multi-Object Tracking

The multiple camera tracking project is a groundbreaking initiative aimed at advancing surveillance capabilities within indoor building environments. This innovation not only mitigates blind spots but also opens new possibilities for efficient asset management and rapid response to events in dynamic indoor settings.

The system is being used in a 5-floor building with 50 cameras and 12 different observation areas.

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Software Screenshot

Multi-Object Tracking

This innovative project seeks to streamline surveillance by efficiently monitoring and tracing the movement of various objects using a single camera.

The system is a breakthrough step to achieve a more ambitious system, a Muti-Camera Multi-Object Tracking system.

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Software Screenshot

Telecom Customer Segmentation

The project aims to describe different customer groups based on their responsiveness to the company's marketing campaign and propose optimization marketing strategies for their upcomming marketing plan.

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