Information Technology Data Science

AI ENGINEER

NGUYEN KHANH DAT

****************.*@*****.***

036*******

Hoc Mon District, Ho Chi Minh City

https://github.com/khanhdat111

Data Science

Ho Chi Minh City University of

Foreign Languages and Information

Technology (HUFLIT)

October 2021 - Present

EDUCATION

TECHNICAL SKILLS

Programming Languages:

Python, Java, C#

Machine Learning Frameworks:

TensorFlow, PyTorch

Computer Vision and Image

Processing: OpenCV, scikit-

image

Natural Language Processing:

NLTK, SpaCy

Version Control: Git, GitHub

Development Tools: Jupyter

Notebook

RESEARCH SKILLS

Paper writing

Experimentation

I have a deep passion for AI, especially deep learning and related fields. I have experience with published works accepted at the ICIT 2024 conference, hold an IELTS certificate, and have participated in many projects related to computer vision and image processing. I am looking for an internship opportunity as an AI Engineer to apply my knowledge in a practical environment, learn from industry experts, and contribute to innovative AI projects. ABOUT ME

WORK EXPERIENCE

SKILLS

POLYP SEGMENTATION (ICIT 2024)

Team: 4

Technologies Used: Python, TensorFlow, Keras, OpenCV Description: Develop and implement a deep learning model for polyp segmentation, leveraging state-of-the-art attention mechanisms. Train and test the model on authoritative datasets provided. The paper is carefully written and compared with state- of-the-art methods certified in ICIT 2024 conference. Github + Demo: https://github.com/khanhdat111/Unet-Focus- CBAM-for-Polyp-Segmentation.git

3D BRAIN TUMOR SEGMENTATION

Team: 5

Technologies Used: Python, PyTorch, MONAI, Medical Image Processing Libraries

Description: Developed a project focusing on 3D brain tumor segmentation using advanced deep learning techniques. Implemented a centralized mechanism to improve the quality of the basic model. The model was trained and tested on the official BraTS2018 dataset. Compared it with other methods to demonstrate the effectiveness of the model improvement. Github: https://github.com/khanhdat111/3D-DynUnet.git 02/2024 - 05/2024

04/2024 - 07/2024

GPA: 3.14/4

LANGUAGE

English: IELTS 5.0

OBJECT LOCALIZATION + CLASSIFICATION

Team: 4

Technologies Used: Python, TensorFlow, Keras, OpenCV, NumPy, Matplotlib

Description: Developed a deep learning model for object localization and classification, integrating advanced techniques to improve accuracy and efficiency. The dataset was self-collected and constructed by the team using reasonable methods. The model has been trained and tested on the collected dataset. Github + Demo:

https://github.com/khanhdat111/Classroom_Object_Localization- Classification-with-Inceptionv3.git

SOFT SKILLS 12/2023 - 03/2024

Teamwork

Communication

Time Management

Contact this candidate