AI Engineer

NGUYEN KHAC LUAT —AIENGINEER

+ An Nhon Ward, Ho Chi Minh City # ************@*****.*** +84-375-***-*** § khacluat03 OBJECTIVE

Final-year Data Science student at IUH with a strong foundation in Machine Learning, Deep Learning, program- ming, and data analysis. Applying my knowledge and skills to solve real-world problems through data-driven approaches. Seeking an internship opportunity to gain hands-on experience and contribute to data-driven projects. Quick learning skills with a passion for data into actionable insights. EDUCATION

Industrial University of Ho Chi Minh City

Data Science, Faculty of Information Technology

Aug 2021 – present

GPA: 3.12/4.0

PROJECTS

RAG-based AI Chatbot with Gemini API and Qdrant Vector Store GitHub

Jul 2025 – Aug 2025

Combining the generative capabilities of large language models with the precision of vector search, enabling the chatbot to answer questions based on custom knowledge sources.

Built a Retrieval-Augmented Generation (RAG) pipeline integrating Gemini API and Qdrant vector database.

Deployed scalable local Qdrant setup using Docker for low-latency queries.

Technologies used: Google Gemini API, Qdrant, LangChain. Detecting players and ball

GitHub

April 2025

Training YOLOv11 model on a custom dataset of football players and the ball. Dataset labeled via Roboflow with players and ball on the field.

Performed data preprocessing and augmentation using Roboflow to improve model generalization.

Fine-tuned model hyperparameters to optimize detection accuracy.

Technologies used: Ultralytics, Roboflow, PIL.

License plate recognition

GitHub

Oct 2024 - Dec 2024

Building CNN models to recognize license plates and predict characters from images and videos. Enhancing data to improve model accuracy. Evaluate results using accuracy and loss metrics.

Implemented a pipeline to extract license plate regions before feeding into the character recognition model.

Visualized training progress and performance using Matplotlib for real-time feedback during training model.

Technologies used: Python, OpenCV, TensorFlow, Keras, Matplotlib, Numpy. SKILLS

Programming Languages: Python.

Frameworks & Libraries: TensorFlow, Pytorch, PySpark, Keras, Scikit-learn, Numpy, Pandas, BeautifulSoup. Web Backend: FastAPI, Django, PostgreSQL.

Tools: Git, GitHub, Cursor, Visual Studio Code, Docker. Other: Crawling data, Microsoft Office, Adobe Apps (Photoshop, Lightroom, Premiere), teamwork ACTIVITIES AND AWARDS

Information extraction project in collaboration with Ph.D Feb 2025 - Apr 2025

Focusing on training YOLO model.

Generating fake data using Photoshop and Python. Annotating data on Roboflow. WorldQuant Brain Oct 2023 – Dec 2023

Reaching GOLD LEVEL in the WorldQuant Challenge. Codeforces 2022

Participating contests on Codeforces.

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