Hello! I am a Computer Science student at Hanoi University of Science - Vietnam National University (HUS-VNU).
I am deeply passionate about Computer Vision, Machine Learning, and building end-to-end data processing pipelines. My transition from Backend Development to AI allows me to approach machine learning problems with a strong foundation in system architecture and deployment.
Current Focus
- Implementing Computer Vision algorithms from scratch using NumPy and OpenCV
- Building and optimizing Deep Learning pipelines with PyTorch and TensorFlow
- Researching architectures like MobileNetV2 for efficient deployment on edge devices
- Participating in ML competitions like DataFlow 2026 at HUS-VNU
- Seeking a Computer Vision/AI Internship to solve practical industrial problems
What I Bring
- Hands-on mathematical approach to ML models, not just black-box API calls
- Backend engineering background (RESTful APIs, Spring Boot) for model deployment
- Clean code architecture and reproducible research practices using LaTeX and Docker
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Computer Vision pipeline to classify 6 types of waste using the TrashNet dataset. Implemented Transfer Learning via MobileNetV2 for feature extraction, combined with a Support Vector Machine (SVM) classifier for optimized margin separation.
Python | PyTorch | OpenCV | MobileNetV2 | SVM |
Extensive laboratory implementations of image processing fundamentals. Includes frequency domain analysis, geometric transforms, morphological operations, and from-scratch NumPy implementations of Canny Edge Detection.
Python | OpenCV | NumPy | FFT | LaTeX |
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End-to-end ML project predicting student math achievement from 30 features. Full Exploratory Data Analysis, PCA/t-SNE dimensionality reduction, and model comparison between Linear Regression and XGBoost. Includes a comprehensive 28-page academic report.
Python | XGBoost | scikit-learn | Pandas |
Programmatic mathematical animation engine utilizing Manim. Features modular Python architecture to generate 1080p/60fps visualizations of complex graph transformations.
Python | Manim | FFmpeg | OOP |
- Email: bravechien2209@gmail.com
- LinkedIn: https://www.linkedin.com/in/brave9/
- Portfolio: https://bravee9.github.io/bravemath/
Open to AI/Computer Vision internship opportunities and technical collaborations.