Information Technology Ai Engineer

OBJECTIVE

PROJECT

EDUCATION

SKILLS

INTERESTS

Male

NGUYEN BAO KHANG

AI ENGINEER (Full-time)

I’m currently an information technology student, with a deep passion for technology. And I’m interested in new technologies and learn about them regularly. My goal is to become a senior AI engineer, so in the next 3 years I will improve my knowledge and keep myself updated with more features related to artificial intelligence, improve my English proficiency.

Lead Developer Dec 2023 - Apr 2024

Main responsibilities:

Collecting and labeling images.

Experimenting with image classification using models: MLP, CNN, VGG16, and VGG16 with transfer learning.

Building an image segmentation model using the UNet architecture.

Deploying image classification and segmentation models using the Streamlit .

Recognition and Gains:

Acquiring skills in searching, collecting, and processing image data.

Gaining a deeper understanding of models such as MLP, CNN, VGG16, and UNet.

Techniques for improving model performance.

Accumulating problem-solving skills during project execution and enhancing teamwork abilities.

Major: Data Science 2021 - 2025

GPA: 3.17/4

Language

Basic communication and reading documents

in English

Programming Languages

Python, R, SQL, C#

Machine Learning and Deep Learning

TensorFlow, Keras, PyTorch, Scikit-learn

Data Handling and Analysis

Numpy, Pandas, Matplotlib, Seaborn

Big Data Technologies

Hadoop, Spark

Soft skills

Problem-Solving, Teamwork, Time

management, Planning

Educational tool recognition application

Searching for similar images in the dataset

Ho Chi Minh City University of

Foreign Languages and Information

Technology

097*******

Dec 18, 2003

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

Trung Chanh, Hoc Mon, Ho Chi Minh

I like playing volleyball, traveling

and drinking coffee.

Lead Developer Dec 2023 - Apr 2024

Main responsibilities:

Collecting image data.

Using VGG16 for feature extraction.

Using Spark to manage distributed data and parallel processing. Deployment with Streamlit.

Recognition and Gains:

Knowing how to use PySpark for handling big data.

Gaining a deeper understanding of how PySpark works. Understanding how models work when using features to find similar images.

Accumulating problem-solving skills during project execution and enhancing teamwork abilities.

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