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AI Engineer

Location:
Ho Chi Minh City, Vietnam
Salary:
1500
Posted:
October 27, 2024

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Resume:

+843******** ***********.****@*****.*** https://github.com/Ennyyz District 8, Ho Chi Minh City

Education

A passionate AI enthusiast eager to learn and contribute to the field. Possessing a strong theoretical understanding of AI concepts and eager to gain hands-on experience through a challenging internship opportunity. A I ENGINEER

Ho Chi Minh City University of

Foreign Languages - Information

Technology (HUFLIT)

Work Experience

About me

Skills

GPA: 3.34/4

Data Science

Technical skills:

Programming Languages: Python,

C#, Java, JavaScript, TypeScript.

Machine Learning & Deep Learning:

Frameworks: TensorFlow, Keras,

PyTorch, TensorFlow.

Libraries: Scikit-learn, NumPy,

Pandas, Matplotlib, Ultralytics.

Algorithms: Regression,

Classification, Clustering, CNN,

RNN, Transformer.

Computer Vision & Image

Processing:

Libraries: OpenCV, scikit-image.

Techniques: Object Detection,

Image Segmentation.

Tools & Technologies: Git, GitHub,

Jupyter Notebook, Docker, Visual

Studio Code.

PHAM THI NGOC YEN

Oct 2021 - Oct 2024

Research skills:

Paper writing

Experimentation

Data analyzing

FRONT-END DEVELOPER,

ARI TECHNOLOGY CO.

Mar 2022 - Jan 2024

BALANCE - B2B system website

Description:

Developed and maintained user interfaces for a B2B web application using ReactJS, Taiwind CSS.

Consumed and manipulated APIs to fetch and display data, ensuring seamless user interactions.

Gained a comprehensive understanding of the B2B web system architecture and its components.

Technology: JavaScrip, TypeScript, RESTful APIs, Git, HTML, CSS. AI ENGINEER,

SVN AUTOMATION COMPANY LIMITED

Jul 2024 - Oct 2024

Industrial sewing thread fault identification

Description:

Collect images and data of products with sewing defects. Developing a model capable of detecting and classifying sewing errors.

Optimize model speed and accuracy before deploying on real systems. Deploy the model to an embedded device or server connected to the camera system.

Technology: Python, Tensorflow, Keras, PyTorch, Ultralytics YOLO, Numpy, Pandas, OpenCV, Matplotlib, Roboflow, Github. POLYP SEGMENTATION Jun 2023 - Aug 2024

Team: 4

Description:

Using U-Net to detect polyb to identify types of cancer. Data was collected in dataset offical website then processing reasonably that was splitted for training and testing with common ratio.

Utilizing new loss function to develop segmentation performance. Technology: Python, Tensorflow, Keras, OpenCV, Sklearn. Github + Demo:

https://github.com/Ennyyz/Polyp_Segmentation_with_UNET.git Ton Quang Toai, MS.

Lecturer/ Deputy Head of Information Technology Department, Ho Chi Minh City University of Foreign Languages and Information Technology. Email: ******@******.***.**.

Reference

Language

English

Achievements

Excellent Student (2021 - 2022)

Soft skills:

Communication.

Teamwork.

Time Management.

ESTIMATING THE DEPTH OF AN OBJECT Mar 2024 - Aug 2024 Description:

Real-time depth estimation and object detection in frames using a monocular camera setup.

Multiple depth estimation models explored, including a custom U- Net, pre-trained MiDaS (PyTorch/Tensorflow Lite), and methods leveraging KITTI dataset calibration files.

YOLOv8 object detection model implemented via Ultralytics. Technology: Python, Tensorflow, Keras, PyTorch, Ultralytics YOLO, Numpy, Pandas, OpenCV, Matplotlib.

Github + Demo:

https://github.com/Ennyyz/Estimating_the_Depth_of_an_Object.git OBJECT LOCALIZATION + CLASSIFICATION Dec 2023 - Mar 2024 Team: 4

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.

Technology: Python, TensorFlow, Keras, OpenCV, NumPy, Matplotlib. Github + Demo:

https://github.com/Ennyyz/Classroom_Object_Localization- Classification_with_InceptionV3.git

Excellent Student (2023 - 2024)

Projects



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