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👋 Hi, I’m Hank Song

I'm a Master's student in AI, with a focus on data science, deep learning, computer vision, and language models.

I enjoy building pipelines that actually work — whether that's benchmarking DINOv2 on CIFAR, restoring blurry images, or fusing human traits across video, text, and audio.


Selected Projects

  • Charisma Predictor: Predicts personality & charisma scores via multi-modal fusion (video, audio, text). Achieved 92.5% accuracy using custom ensemble logic.
  • MiniVision: Benchmarks ResNet, EfficientNet, DINOv2 on CIFAR-10&100. ViT reached 98.7% & 91.5% accuracy.
  • Image Restoration: DnCNN vs. NAFNet on GOPRO/RealBlur with metric + perceptual analysis
  • Image Stitching: Harris + SIFT + RANSAC full classical CV pipeline

Interests

  • Deep Learning & Model Fusion
  • Vision Transformers & Visual Reasoning
  • Human-Centered AI (Multimodal signals)
  • Tools that Make Models Usable

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