CV
Basics
Name | Phan Tai Duc |
Label | AI Researcher |
phantaiduc2005@gmail.com | |
Phone | (+84) 902-244-389 |
Summary | An AI Researcher with strong background on mathematics and computer science. My research interests include machine learning, deep learning and computer vision. |
Work
-
2024.04 - Present AI Researcher
AiTA Lab - FPT University
Research on machine learning, deep learning and computer vision with my mentor.
Education
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2023.09 - 2026.11 Bachelor
FPT University, Ho Chi Minh City, Vietnam
Software Development
- Computer Networking
- Operating System
- Web Development
Awards
- 2023.05.24
50% Scholarship
FPT University HCMC
The scholarship is awarded to excellent students having participated in the FPT entrance test.
- 2021.12.22
Semi-Finalist TechGenius Competition 2021
RMIT University Vietnam and Hoa Hoc Tro magazine
The TechGenius is an annual event designed to foster and showcase young talents in technology through collaborative team efforts and innovative projects.
Certificates
Foundations: Data, Data, Everywhere | ||
2024-02-05 |
Generative AI with Large Language Models | ||
DeepLearning.ai | 2024-01-19 |
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization | ||
DeepLearning.ai | 2024-01-16 |
Skills
Machine Learning | |
Active Learning | |
Ensemble Learning |
Computer Vision | |
Object classification | |
Object detection | |
Object recognition |
Image Generative AI | |
Generative Adversarial Networks | |
Variational Autoencoder | |
Diffusion Models |
Languages
English | |
Fluent |
Vietnamese | |
Native |
Interests
Natural Language Processing | |
Word Embedding | |
Text Classification | |
Statistical NLP |
Projects
- 2024.02 - 2024.02
Flower Generator with Diffusion model from scratch
Implement a diffusion model with UNet base on 102flower dataset to create 64x64 images.
- Diffusion model
- Positional Embedding
- Diffusion Schedules
- 2024.01 - 2024.01
Manipulating Face Emotion with VAE
Implement a VAE model and apply mathematical operations to manipulate face emotion.
- Variational AutoEncoder
- Latent Space
- 2024.02 - 2024.02
Horse2Zebra Transfer with CycleGAN
Implement CycleGAN model to transfer horse image to zebra image.
- Generative Adversarial Networks
- CycleGAN
- WandB