AI engineer fresher

BUI DUC TAI

FRESHER AI ENGINEER

Final-year AI student with solid knowledge of Machine Learning, Deep Learning, and Computer Vision. Skilled in Python, PyTorch, TensorFlow, and OpenCV. Experienced in data preprocessing, model training and optimization. Passionate about applying AI to real-world vision problems such as object detection, image classification, and segmentation.

OBJECTIVE

Programming: Python, SQL, Java (basic)

Computer Vision: OpenCV, Data Augmentation, Model Optimization & Inference Benchmarking Data Processing: Pandas, NumPy, Matplotlib, PySpark AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Transformers, Hugging Face NLP & Generative AI: BERT, PhoBERT,, ChatGPT, OpenAI API, Generative AI Tools: Flutter, Git, VS Code, Jupyter Notebook, Google Colab, Flask SKILLS

Research Intern

Institute of Information Mechanics and Applications, Ho Chi Minh City Oct 2024 - Dec 2024 Conducted research and development of Air Quality Index (AQI) prediction models for Ho Chi Minh City region Built and optimized Multi-Layer Perceptron (MLP) algorithms for environmental data forecasting Performed comprehensive data preprocessing and feature engineering on structured environmental datasets Applied model evaluation methodologies and performance optimization techniques to achieve 85% prediction accuracy

Github: Air Quality Monitoring System - Ho Chi Minh City PROFESSIONAL EXPERIENCE

Vietnamese Semantic Similarity Analysis Oct - Dec 2024 Developed comprehensive semantic similarity analysis system for Vietnamese text processing Fine-tuned BERT models specifically for Vietnamese natural language understanding Built intuitive web application enabling real-time semantic analysis with user-friendly interface Technologies: Python, BERT, TensorFlow, Flask, Natural Language Processing, Web Development Impact: Successfully processed 10,000+ Vietnamese text pairs with 92% accuracy Github: Vietnamese Semantic Similarity Analysis

User Behavior Analysis & Product Recommendation System University Data Science Competition - Team of 5 Members Analyzed large-scale user datasets using BERT/PhoBERT for sentiment analysis and emotion detection Developed SVD-based recommendation system with comprehensive EDA and feature engineering Technologies: Python, Pandas, NumPy, BERT, PhoBERT, SVD, Scikit-learn, Data Visualization, Streamlit Github: User Behavior Analysis & Product Recommendation System User Sentiment Analysis System

University Data Science Competition - Team of 5 Members Built end-to-end Vietnamese text sentiment analysis achieving F1-score of 0.88 Implemented custom evaluation metrics and model optimization techniques Technologies: Python, Pandas, NumPy, BERT, PhoBERT, Data Visualization, Scikit-learn Github: User Sentiment Analysis System

PROJECTS

Won the consolation prize of the 2024 Artificial Intelligence Competition Won third prize in the 2024 School data science competition AWARDS

*************@*****.*** 078******* An Phu Dong, TP. HCM LinkedIn GitHub Bachelor of Information Technology

Nguyen Tat Thanh University, Ho Chi Minh City 2021 - 2025 Specialization: Artificial Intelligence Relevant Coursework: Deep learning, Object identification, Machine Learning EDUCATION

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