Computer Science undergraduate at Harbin Institute of Technology (Shenzhen), currently building projects in machine learning, deep learning, computer vision, and medical image analysis.
- 🔬 Currently working on 3D blood vessel segmentation
- 🩻 Experience building CNN-based medical image classification models
- 🧠 Working with PyTorch, TensorFlow, Keras, and scikit-learn
- ⚙️ Interested in ML engineering, AI systems, and model deployment
- 🌱 Currently improving my skills in deep learning and ML engineering
Undergraduate Thesis · Computer Vision · Medical Image Analysis
Currently working on 3D blood vessel segmentation using volumetric electron microscopy data. Exploring promptable segmentation methods based on the TriSAM framework and experimenting with supervised segmentation models.
Tech: Python · PyTorch · Computer Vision · Medical Image Analysis · Napari · ITK-SNAP
CNN · PyTorch · Medical Imaging · LLM
Built a CNN-based model for classifying chest X-ray images into COVID-19, Normal, and Viral Pneumonia categories.
- 92% overall classification accuracy
- Integrated an LLM to generate simplified explanations based on model predictions
Tech: Python · PyTorch · CNN · Medical Image Analysis
Machine Learning · Random Forest · FastAPI · Docker
Built a machine learning application that predicts whether a movie will receive a positive rating using movie metadata.
- Random Forest model built with scikit-learn
- 88% accuracy and 0.82 Macro F1
- FastAPI backend for serving predictions
- Dockerized application
Tech: Python · scikit-learn · pandas · NumPy · FastAPI · Docker
Agentic AI Hackathon Project
A planned agentic AI application for personalized news discovery and briefing. The project is being developed for an upcoming hackathon submission.
Focus: AI Agents · Real-Time Information Retrieval · APIs
- 🧠 Improving my ML engineering and deep learning skills
- 🔬 3D medical image segmentation for my undergraduate thesis
- 📚 Learning and practicing machine learning engineering concepts
- 💻 Preparing for ML/AI internship opportunities