Engineer Intern Information Technology

NGUYEN QUOC AN

AI ENGINEER INTERN

035*******

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

github.com/Qan2003

linkedin.com/in/an-quoc-569800238

A final-year student with a keen interest in AI, proficient in utilizing related tools such as Keras, Tensorflow, and Pytorch. Eager to apply knowledge and skills in deployment and management, and contribute to company projects to achieve organizational goals.

EDUCATION

UNIVERSITY OF INFORMATION TECHNOLOGY (VNU-HCMUIT)

2021 - Present

Major: Computer Networks and Communications

GPA: 8.1

PROJECTS

RESEARCH AND DEVELOPMENT SYSTEM INDENTIFY PHISHING URLS February 2023 - Present

Collect and process image and tabular data.

Models used for training are Yolo and Tabtransform by Keras. Use recall, precision, f1-score, accuracy indexes to evaluate. Perform evaluation and comparison with other models such as Faster-RCNN, Random Forest, SAINT.

Deploy applications using Streamlit.

Source: github.com/Qan2003/CITA2024

MOTOCYCLE CLASSIFYCATION

January 2024 – June 2024

Collect and process image data.

Feature extraction using ResNet50.

Create and train models using Keras, Tensorflow.

Evaluate model performance with loss and accuracy. Source: github.com/Qan2003/CS114.O21-21521809-21522608 SKILLS

Programming languages: Python, Deep Learning Frameworks: Pytorch, C++, Java. Tensorflow, Keras.

Programming Libraries: OpenCV, Data Visualization tools: Matplotlib, numpy, pandas, scikit-learn. Seanorn.

Configuration Management: Git, Platforms: Jupyter notebook, Colab, Github. Linux, Android.

ACHIEVEMENTS

Paper: "Advancing Phishing Attack Detection with A Novel Dataset and Deep Learning Solution" was accepted at the CITA 2024 international scientific conference, it will be published on Springer.

SOFT SKILLS

Basic English communication

Teamwork effectively

Time management

Can work under pressure

Contact this candidate