Sean Pan

Sean Pan

Laboratory Assistant

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location of Sean PanBrooklyn, New York, United States

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  • Timeline

  • About me

    Software Engineer Associate @ Capital One | MSCS @ NYU

  • Education

    • The Hong Kong University of Science and Technology

      2019 - 2023
      Bachelor's degree Computer Engineering
    • New York University

      2023 - 2025
      Master of Science - MS Computer Science
  • Experience

    • DESRLab

      Jul 2021 - Aug 2021
      Laboratory Assistant

      - Utilized point-viz for visualization of point cloud data and strategically fine-tuned the PointPillars model, enhancing the accuracy of 3D object detection and classification within point cloud domains.

    • The Hong Kong University of Science and Technology

      Jul 2021 - Aug 2021
      Undergraduate Researcher

      - Developed a ticket-buying iOS mobile application that interacts with a smart contract written in Solidity, which is deployed on the Ethereum blockchain using the web3.swift library.- Optimized gas usage by 15% and conducted comprehensive security audits to ensure smart contract integrity.

    • Measurable AI

      Dec 2021 - May 2022
      Software Engineer Intern

      - Implemented generic parsers for data extractions from 2,000,000+ of e-receipts and order confirmation emails.- Performed analysis and visualization of data sets, and made revenue predictions of publicly traded companies.

    • DataFarm Limited

      Jun 2022 - Aug 2022
      Software Engineer Intern

      - Built an end-to-end image processing pipeline using maskRCNN for auto-grading the conditions of trading cards, enabling efficient assessment that is at least 1,000% faster than manual grading.- Performed preprocessing, postprocessing, and maskRCNN modifications to train on our custom datasets.

    • New York University

      Jan 2024 - Sept 2024
      Graduate Researcher

      - Refined a predictive trading model using recurrent reinforcement learning, incorporating PCA and DWT for feature preprocessing to maximize Sharpe ratio via gradient ascent.- Enhanced model efficacy through Bayesian optimization for hyperparameter tuning with the Optuna library.

    • Capital One

      Feb 2025 - now
      Software Engineer
  • Licenses & Certifications