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shawnyin128/README.md
  • 👋 Hi, I’m @shawn-yin128 a current Master of Computer Science student at NYU Courant, with concentration on Artificial Intelligence. I'm currently working at NYU SAI Lab as AI researcher, focusing on LLM model efficiency and RL-based speedup method.
  • 👀 I hold Master's degree of Financial Engineering (NYU Tandon), and I'm also an experienced (1~3years) Software Developer and Big Data Engineer in FinTech industry.
  • 🔥 I also have sufficient knowledge in Finance and I'm currently a CFA level II candidate.

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  1. Travel_Planner_Webapp Travel_Planner_Webapp Public

    A trip planning web app containing plan making, save, and share function. The backend services are built with Spring Boot, and the frontend webpage is based on ReactJS.

    JavaScript 2

  2. Movie_Recommendation_ChatGPT_Webapp Movie_Recommendation_ChatGPT_Webapp Public

    A movie recommendation system with React.js as frontend. Backend contains two modules. One is aimed to retrieve movie data and is based on Node.js. The other one is used to access OpenAI APIs to ge…

    JavaScript 1

  3. House_Booking_Webapp House_Booking_Webapp Public

    A web app used to post and rent house. The backend services are built with Spring Boot along with Spring Security, and the frontend webpage is based on ReactJS.

    Java

  4. Twitch_Recommendation_Webapp Twitch_Recommendation_Webapp Public

    This projects build web application using Twitch API to search game videos and streams and get recommendation. The frontend is implemented using React.js and the backend is based on Spring MVC.

    Java

  5. Sparse_ResNet_Distillation Sparse_ResNet_Distillation Public

    This project designs a distillation loss that combines L1 regularization and soft KL divergence. The distilled model has better performance on weight pruning and activation pruning. This project se…

    Jupyter Notebook 1

  6. ExploreJEPA_a_movement_prediction_model ExploreJEPA_a_movement_prediction_model Public

    This project build a JEPA architecture model, that uses ConvNext block as encoder and MLPs as predictor, to predict the movement of an object in an environment with wall and door. This project serv…

    Python