AI Engineer Intern

VU HOANG TIN

AI ENGINEER INTERN

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

Da Nang City

OBJECTIVE

Graduated Data Science and AI student with hands-on experience in Computer Vision and Deep Learning. Built and deployed AI systems using

PyTorch and FastAPI. Strong in model development, feature extraction, and real-world AI pipeline implementation.

EDUCATION

DA NANG UNIVERSITY OF SCIENCE

AND TECHNOLOGY

Sep 2021 - Sep 2025

Major: Information Technology - Data Science and Artificial Intelligence

GPA: 3.1 / 4.0

SKILLS

Programing language: Python, MySQL

Machine Learning: Pytorch, Numpy, Pandas, OpenCV, Scikit-learn,..

NLP: RNN, LSTM, Transformers

Computer Vision: CNN, Resnet, U-Net, YOLO, GAN

IoT: Arduino, Esp32, RaspberryPi

Database: SQL Server, MySQL, FAISS

Tool: Git/Github, FastAPI, Gradio

LANGUAGES

English (810/990 TOEIC)

CERTIFICATE

Third prize FAST Tech Show 2025 (Science Reseacher)

WORK EXPERIENCE

VNPT - IT (Region III)

AI Engineer Intern 01/2025 - 04/2025

Preprocessed large-scale datasets to improve model performance

Developed deep learning models for image colorization

Improved model performance

Documented experiments and reported weekly

PROJECT

1. Medical Image Retrieval

https://github.com/hoanggtin/medical_image_retrieval

Implemented by: Individual

Description: Built a content-based medical image retrieval system for chest Xray diagnosis support.

Responsibilities:

Research and designed feature extraction pipelines using CNN + FPN +

RMAC and ViT + FPN + RMAC

Implemented large-scale similarity search using FAISS, enabling efficient retrieval

Achieved 94.37% accuracy on test dataset

Developed a demo interface using Gradio

Tech: PyTorch, FAISS, CNN, ViT, Python, Gradio

2. Image Colorization System

https://github.com/hoanggtin/image_colorization

Implemented by: Individual

Description: Developed deep learning models for grayscale-to-color image

translation

Responsibilities:

Implemented U-Net, Residual U-Net, GAN-based architectures

Improved visual quality through model tuning and dataset preprocessing

Tech: Python, PyTorch, OpenCV, Resnet, U-net, GAN

3. Video Captioning System (3 members)

https://github.com/hoanggtin/PBL6_video_captioning

Role: Computer Vision and NLP Model Developer

Description: Developed an AI system to generate captions from video content

Responsibilities:

Extracted visual features using ResNet encoder

Built Seq2Seq with Attention model for caption generation

Tech: Python, PyTorch, OpenCV, Resnet, Seq2Seq with Attention, FastAPI

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