10/12/2025 updated
100 % available
AI Engineer with expertise in Machine Learning and Deep Learning
Ho Chi Minh City, Vietnam
Ho Chi Minh City +null km
Bachelor in Artificial Intelligent (in progress)Artificial IntelligenceData AnalysisArtificial Neural NetworksComputer VisionNvidia CUDAComputer ProgrammingPython (Programming Language)Machine LearningResearch MethodologiesNumPyOpenCVTensorFlowScientific StudiesStatisticsData Processing
Deep Learning
Experience with Large Language Models (LLMs) and Computer Vision applications, including implementation of various neural network architectures for speech emotion recognition.
Python Programming
Proficiency in Python ecosystem including NumPy, Pandas, Scikit-learn, OpenCV, PyTorch, and TensorFlow for machine learning model development and data analysis.
Machine Learning
Knowledge of traditional and advanced machine learning techniques, with experience in model evaluation, fine-tuning, and addressing class imbalance issues in datasets.
CUDA Programming
Skills in GPU-accelerated computing for deep learning applications.
Statistical Analysis
Ability to perform statistical analysis for model evaluation and data interpretation.
Research Methodology
Experience in research collaboration and applying scientific methods to AI problems, particularly in protein captioning tasks.
Data Processing
Expertise in creating custom datasets and applying data balancing techniques for machine learning applications.
Experience with Large Language Models (LLMs) and Computer Vision applications, including implementation of various neural network architectures for speech emotion recognition.
Python Programming
Proficiency in Python ecosystem including NumPy, Pandas, Scikit-learn, OpenCV, PyTorch, and TensorFlow for machine learning model development and data analysis.
Machine Learning
Knowledge of traditional and advanced machine learning techniques, with experience in model evaluation, fine-tuning, and addressing class imbalance issues in datasets.
CUDA Programming
Skills in GPU-accelerated computing for deep learning applications.
Statistical Analysis
Ability to perform statistical analysis for model evaluation and data interpretation.
Research Methodology
Experience in research collaboration and applying scientific methods to AI problems, particularly in protein captioning tasks.
Data Processing
Expertise in creating custom datasets and applying data balancing techniques for machine learning applications.
Experience
Professional experience0 - 5 years
Freelancer since2024
Languages
EnglishFluent
Project history
Participated in research on the application of Large Language Models (LLMs) to the Protein Captioning task at FPT University.
Designed and evaluated multiple model architectures including 3D-CNN + Transformer Encoder, 3D-CNN + LSTM, and standalone 3D-CNN for the Speech Emotion Recognition task. Built a custom dataset by combining multiple sources from Kaggle. Achieved 89% test accuracy in the final evaluation.
Applied appropriate data balancing techniques to address class imbalance issues. Designed, fine-tuned, and evaluated various models to identify the most effective and high-performing architecture.