Can Tho university
Information Technology
Fouth years student, my GPA achieved is 3.37/4.
Web Developer
Backend: PHP Laravel(basis), Nodejs(basis), ExpressJS(basis), MVC model(basis), Flask(basis).
Frontend: Bootstrap, HTML, CSS, Jquery, vueJS(basis)
SQL: Mysqli, Mongodb, Flask-sqlalchemy.
Machine learning
Tensorflow(intermediate),
OpenCV(intermediate),
Padas,
sklearn,
pytorch(basis)
Other
python, OOP, C/C++, java
Artificial Intelligence
Research about human activity recognize with machine learning. A research paper published and made public in the journal FDSE (link: https://link.springer.com/chapter/10.1007/978-***-**-****-5_30)
Research about human pose classification. Using MoveNet to detect cheating behavior on examination(https://github.com/nguyendat2001/cheating_detector_Mediapipe).
Research about medicine image using segmentation architecture. Using Unet++ and Deeplabv3 to detect lung infection and lung. (https://github.com/nguyendat2001/covid-19-segmetation-unet-deeplabv3)
Using Unet archiecture to detect brain tumor on MRI image.(https://github.com/nguyendat2001/brain_tumor_segmentation)
using transfer learning to detect Real and Fake face was made by DeepFake technique. (https://github.com/nguyendat2001/transfer_learning_deepfake_classification)
Web Developer
Using knowledge to design web to complete my studying at university with express framework and laravel framework.
Nguyễn Tiến Đạt
Web developer & AI engineer
10/2/2001
********.**@*****.***
https://www.facebook.com/profile.php?id=100************
https://github.com/nguyendat2001
3/2 street, Ninh Kieu District, Can Tho City
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INTRODUCE
I am web developer. I can design web with some framework backend and frontend. I also excited in Artificial Intelligence. I can use my knowledge to classification and segmentation of image by using openCV, Tensorflow and Pytorch. Ability of quickly adapt to evironment.
EDUCATION
SKill
Work Experience