All of the AI/ML courses I took at Stanford involved final projects, and most of those projects involved writing up a final paper and presenting a poster on the work my group and I did.

I make those works publicly available here.

• Fall 2022:
  • CS229: Machine Learning
    • Topic: Investigating the Predictive Potential of Technical Indicators in Algorithmic Day Trading
    • Paper
    • Poster
• Winter 2022/2023:
  • CS224N: Natural Language Processing with Deep Learning
    • Topic: Finetuning minBERT for Downstream Tasks
    • Paper
    • Poster
  • CS224W: Machine Learning with Graphs
    • My group and I implemented FLAG support in PyTorch Geometric
    • No paper or poster was created for the final project in this class
• Spring 2022/2023:
  • CS224U: Natural Language Understanding
    • Topic: Recommending Emergency Room Orders with a Large Language Model
    • Paper
  • CS231N: Deep Learning for Computer Vision
    • Topic: Transformers and Transposed Convolution for Semantic Segmentation
    • Paper
    • Poster