🚀 Skills: Python, PyTorch, TensorFlow, CLIP, Image Processing, Natural Language Processing, Data Mining
🛠️ Tools & Technologies: Large Model Fine-tuning, DeepSpeed, vLLM, P-tuningV2, Lora, Data Cleaning, Clustering Analysis
Kaggle - Google - AI Model Runtime Prediction (Silver Medal)
- Task: Predicted runtime of nodes in deep learning models to optimize architecture.
- Highlights: Applied Graph Neural Networks (GNNs), embedding encoding, and GCNConv for node feature processing.
- Achievements: Awarded silver medal.
CMU - Machine Learning-Based TCP Security Action Prediction
- Task: Predicted security actions of TCP using various machine learning algorithms.
- Highlights: Used ensemble learning to address class imbalance issues in security categories.
- Achievements: Received high praise from Professor Pradeep Ravikumar at Carnegie Mellon University.