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rickypang0219/README.md

👨🏻‍💻 Ricky Pang,
Typing SVG

Hi! I am an aspiring Quant and Cloud Data engineer in Hong Kong. I obtained my M.Phil in condense matter physics in 2023. Currently I am interested in using Rust to build blazingly fast trading system and backtest for quantitative research purposes. Besides, leveraging AWS cloud services like DynamoDB, AWS Lambda, and Serverless Application Models (SAM) are my daily routine as a Cloud Data Engineer.

You can connect with me through LinkedIn and Email

Languages and Tools

Current Projects

  1. [RUST AWS SDK to write/query data inside DynamoDB]
  2. My porfolio webpage and its GitHub page. I built this webpage using Vite/ReactJS and Material UI. This project is finished on Mid August. Originally I create an Django server for blog posts and the web-app works well on fetching the Django restful APIs using Axios. However, I don't have a free server to host a Django server. The alternative way I used here is to render the markdown files inside ReactJS. Besides, I also create a JSON file to stores the necessary information of each posts like titles or creation data. Therefore, I can handle the blog posts list more easily.
  3. Ising model simulation with C (rewritten in RUST) . Ising model is a famous model in condensed matter physics as it describes the phases of matter. In this project, I used C/RUST to perform Markov Chain Monte Carlo(MCMC) simulation to the Ising model simulation and understand the phase transition. The reason of using C instead of python is that C offers us faster computation time on large system than Python.

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rickypang0219 Leetcode Stats

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  1. PyTorch_DeepLearning PyTorch_DeepLearning Public

    Jupyter Notebook