Experience

  1. AI Engineer Intern

    TMA Solution

    Responsibilities include:

    • Researched, implemented, and trained computer vision models for sign language translation.
    • Applied optimization techniques to reduce model inference time, including Input-Adaptive (IA) methods.
    • Integrated alternative attention mechanisms to lower model complexity, such as SparseProb Attention and Linear Attention.
    • Explored SiFormer, a state-of-the-art model for sign language recognition.
    • Investigated approaches for generating sign language from spoken language input.

Education

  1. BSC. Computer Science

    University Of Information Technology(UIT)
Skills & Hobbies
Certificates
Neural Networks and Deep Learning
Coursera ∙ November 2023
I studied the foundational concept of neural networks and deep learning. By the end, I was familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks; implement efficient (vectorized) neural networks; identify key parameters in a neural network’s architecture; and apply deep learning to your own applications.
Languages
75%
English
100%
Vietnamses