Nguyen T.
Junior AI Engineer
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About
Nguyen T. N., an accomplished AI Engineer based in Ho Chi Minh City, specializes in machine learning and deep learning with substantial experience in developing and deploying AI models. He holds a Bachelor's degree in Computer Science from Ho Chi Minh City University of Science. Currently an AI Researcher at GOSUVERSE, Nguyen has engineered machine learning projects involving gameplay data analysis and AI-integrated ERP features using advanced techniques like TensorFlow and FastAPI for backend services. Previously, as an AI Engineer at the International Trade Council, he developed large-scale text retrieval systems leveraging BM25s and LLM technologies, ensuring efficient data processing. His early career as a Data Engineer Intern included adept web scraping and data transformation tasks. Nguyen has excelled in projects such as endoscopic tumor segmentation with U-Net architectures and customer feedback analysis via Django interfaces, showcasing his proficiency in frameworks like Python, Pandas, and Scikit-learn. His technical expertise is further supported by certificates from prominent courses such as IBM Machine Learning and Google Data Analysis.
Experience
AI Researcher
GOSUVERSE · 2025 — PresentCollected and processed large-scale gameplay log data directly from Elasticsearch utilizing Python for analysis. Data exploration, cleaning, and feature engineering were performed using Pandas and NumPy to prepare datasets for modeling. Conducted research and evaluation of machine learning models (sklearn) for clustering and churn prediction. Developed end-to-end data pipelines from ingestion to training and prediction, incorporating backend services using FastAPI for delivering churn and clustering reports.AI Engineer
International Trade Council · 2024 — 2025Processed large-scale text data with Python and Pandas, ensuring data was cleaned, normalized, and structured. Employed multithreading and thread pools to enhance data processing speed on large datasets. Created a predictive system for over 11,000 unique labels by integrating BM25s and LLMs for efficient text retrieval. Utilized BM25s for retrieval and combined it with LLM reranking to boost accuracy while applying RAG techniques to improve contextual responses. Deployed AI models into production using FastAPI, focusing on scalability and fast, smooth APIs for user predictions. Utilized Git, Docker, and CI/CD pipelines for automated deployment.Data Engineer Intern
International Trade Council · 2024 — 2024Extracted data from various U.S. and international websites through web scraping using tools such as Selenium and Beautiful Soup. Implemented proxy rotation and CAPTCHA-solving techniques to maintain uninterrupted data collection. Processed, cleaned, and transformed raw scraped data into structured formats for database integration and downstream usage.
Skills & Expertise
Education
- Bachelor of Science in Computer ScienceHo Chi Minh City University of Science – HCMUS · — — 2024