Bio
👋 Hello, I am Nguyễn Thái Học -- an AI Engineer at the Institute of Applied Science and Technology (IAST), under the University of Information and Communication Technology (ICTU). My journey with AI began in 2020, but it was the challenging problems during my junior year of university that truly ignited my profound passion for this field.
Starting as a Computer Vision Intern in August 2023 and subsequently taking on the official role of AI Engineer, I have transitioned from mastering theoretical foundations to directly developing practical AI solutions for Healthcare and Education. Currently, my research focus revolves around unlocking the potential of Machine Learning and Computer Vision to solve real-world challenges.
Not stopping there, I am expanding my research boundaries into Large Language Models (LLMs) and Vision-Language Models (VLMs), while aiming to optimize deployment pipelines through MLOps/LLMOps. To me, AI is not just about algorithms; it is a tool to create positive changes for society.
News
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[05/2026:] Admitted as a student for the second cohort of the AI IN ACTION training program at VinUniversity.
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[08/2024:] Official AI Engineer at IAST.
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[07/2024:] Two papers accepted for publication and presentation at the ICTA conference in Phu Tho.
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[08/2023:] Computer Vision Intern at IAST.
Tech Stack & Skills
- Programming Languages:
PythonC/C++LaTeXMarkdown. - ML/DL Frameworks & Architectures:
PyTorchTensorFlowScikit-LearnHuggingFaceLangchain. - Data Processing & Big Data:
PandasNumPyHadoopSparkPostgreSQLMongoDB. - IDEs, Tools & Ops:
VS CodeGit/GitHubDockerFastAPILinuxMLflowStreamlit.
Publications
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01. A Study on Ensemble Learning for Cervical Cytology Classification
Van-Khanh Tran, Thai-Hoc Nguyen, Chi-Cuong Nghiem, Xuan-Lam Dinh
International Conference on Advances in Information and Communication Technology (ICTA), 2024.
Keywords:
Ensemble LearningCervical Cancer CytologyDeep Learning -

02. An automatic machine learning based customer segmentation model with RFM analysis
Xuan-Thi Tran, Thai-Hoc Nguyen
International Conference on Advances in Information and Communication Technology (ICTA), 2024.
Keywords:
Customer SegmentationRFMK-means ClusteringHadoopSpark
