Nguyen Thien Thuat
Machine Learning
+84-942-***-*** Ho Chi Minh City, Vietnam
ad48hh@r.postjobfree.com
github.com/ThuatNguyenZ
fb.com/ThuatNguyen992 OBJECTIVE
Short-term: I am eager to apply the knowledge I have learned at school to the real world through. I want to learn from my mentor and develop the necessary technical and soft skills for an Machine Learning position and other related positions.
Long-term: I aspire to become a professional Machine Learning who can independently build, deploy, and operate AI/Machine Learning models. I want to participate in large-scale AI/Machine Learning projects that help solve complex business problems.
EDUCATION
University of Information Technology — VNU-HCM Sep. 2020 - May 2024 Faculty of Information Science and Engineering Ho Chi Minh City, Vietnam
• Bachelor of Science in Data Science
• GPA: 8.22
• Graduated ahead of schedule 3.5/4 year
TECHNICAL SKILLS
Languages: C++, Python, R, SQL, Java, HTML, CSS.
Technical Knowledge: Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Big Data
(Hadoop, Spark, Kafka), SQL, ETL (SSIS) Data Warehouse, Power BI. Developer Tools: Google Colab, Git, Docker, Anaconda. Libraries: Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, Keras, PySpark, Streamlit, OpenCV, MediaPipe. RESEARCH EXPERIENCE
Scientific Research Jan. 2023 – Dec. 2023
Faculty of Information Science and Engineering Ho Chi Minh City, Vietnam
• Topic: RRS - Review-based Recommendation System Using Deep Learning for Vietnamese
• Description: We propose a recommendation system (RRS) combined with a Language Processing Model to capture context from Real-time Vietnamese comments. Our approach outperforms recent state-of-the-art (SOTA) methods on small datasets.
• Technologies: Neural Collaborative Filtering, PhoBERT, FastText, LSTM, Keras, Numpy, Underthesea, Kafka, Spark, Cassandra.
• Responsibility:
- Perform information collection, preprocessing and data set construction.
- Applied research of FastText into the recommendation model.
- Deploy end-to-end ML pipelines with real-time comments and user history from a real website using Big Data technology.
• Status: The project is currently being submitted for the UIT School Award and accepted for publication in the
”SN Computer Science” Journal.
PROFESSIONAL EXPERIENCE
IR-Based Chatbot System with Custom Document and Image Dataset Nov. 2023 – Dec. 2023 Faculty of Information Science and Engineering Ho Chi Minh City, Vietnam
• Description: A chatbot system based on the RAG method can be used for chat with any document or image dataset.
• Technologies: CLIP, Faiss, LangChain, SQLite, ResNet50, VisionTransformer (ViT-L14), Sentence-BERT, GPT3.5, FLAN-T5, Streamlit.
• Responsibility:
- Design text to picture solution using CLIP for the system.
- Design picture to picture solution using ResNet50 for the system.
- Support building demo systems with Streamlit.
NAML-LSTUR: A Combinded Model for News Recommendation Jun. 2023 – Jul. 2023 Faculty of Information Science and Engineering Ho Chi Minh City, Vietnam
• Description: A recommendation model (NAML-LSTUR) for the News Recommendation is a combination of two SOTA models.
• Technologies: MIND dataset, LSTUR model, NAML model, DKN model, TANR model.
• Responsibility: Define architechture. Process data sets to suit computing resources. Connect the User Encoder of the LSTUR model and the News Encoder of NAML to create output for the system. CERTIFICATIONS
TOEIC - 505/990 Point
Issued Sep. 2023 - Expires Sep. 2025
TOEIC SW - 240/400 Point
Issued Mar. 2024 - Expires Mar. 2026
ACTIVITIES
Communication - Content, Design Jul. 2021 - Jan. 2023 University of Information Technology — VNU-HCM Ho Chi Minh City, Vietnam
• Event: Green Summer 2021, 2022 - Spring Volunteering 2022, 2023 - Student Leader 2022, New Student Welcome Day 2022
• Responsibility: Write content, design publications, plan contests for events. Deputy Department Learning Jun. 2022 - Jun. 2023
Department Learning, Faculty of Information Science and Engineering Ho Chi Minh City, Vietnam
• Before 2022, write content, design, and plan events.
• After 2022, manage the Department Learning.