Donglin Gu

Website Manager at FH Group International, Inc
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Contact Information
us****@****om
(386) 825-5501
Location
New York, New York, United States, US

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Experience

    • United States
    • Motor Vehicle Parts Manufacturing
    • 1 - 100 Employee
    • Website Manager
      • Jun 2023 - Present

      Developed and launched a full-featured e-commerce website using Shopify, driving streamlined online shopping experiences and enhancing customer engagement. Customized Shopify themes and templates to align with brand identity, ensuring a visually appealing user interface. Integrated multiple payment gateways, ensuring secure and varied transaction options for customers. Optimized website performance and load times, which led to a 25% reduction in cart abandonment rates. Configured and monitored analytics tools to track user behavior, providing insights for data-driven decision-making. Provided ongoing maintenance and updates, ensuring website stability. Show less

    • United States
    • Higher Education
    • 700 & Above Employee
    • Web Application Developer
      • Sep 2022 - Dec 2022

      Developed a Market Panel for EVE Online that included 3 Microservices deployed on AWS EC2 and Elastic Beanstalk: Space Map, Market Orders, and Market Statistics, all support queries and updates and have an excellent visualization effect. Built the back end using Python and Flask, and the front end using Vue and Node.js. Established MySQL as the database that connected with the back end to record information and properties. Achieved the pagination and sorting functions of back-end APIs with well-defined URL path parameters and SQL query string supported by a Flask server. Used S3 Bucket to store static data and encapsulate with Cloud Front to speed up the distribution of web content by 27%. Added authentication feature by using Google OAuth and EC2. Added automatic email delivery feature by using AWS SNS and Lambda function, sending the information from MongoDB through EventBridge. Show less

    • Telecommunications
    • 700 & Above Employee
    • Research Assistant
      • Sep 2021 - Dec 2022

      Built a super-resolution network based on SRDenseNet by PyTorch, introduced the Channel Attention mechanism and improved the spatial resolution by 12% and angular resolution by 15%, and addressed the limitation of the resolution of light field bandwidth product.Through the super-resolution network, the back projection error of 3D light field endoscope calibration was reduced by 16% and the R-square value was increased by 6%.

    • Research Assistant
      • Jan 2022 - Jun 2022

      Build a Freehand 3D Ultrasound Imaging System for scoliosis diagnosis based on the VS2021MFC framework that can collect images and position information of human bodies, then apply the fast reconstruction and combined visualization.Applied Squared Distance Weighted (SDW) interpolation method and Bezier interpolation method for the reconstruction procedure, and use CUDA to implement a parallel algorithm on GPU for SDW interpolation, making the reconstruction rate 30% faster, reached 24 frames/s, which is nearly real-time.Achieved the 2.5D curved panorama construction based on cutting of crossing images by broadening the original ones.Proposed two interpolation-related methods based on image projection to the sagittal plane and triangularization respectively. Show less

    • China
    • Research Services
    • 700 & Above Employee
    • Research Assistant
      • Jun 2021 - Sep 2021

      Utilized Offline Sorter to filter and sort ECoG signals from the premotor cortex of two macaques and implemented simultaneous 3D visualization of modeling information and the neural signals. Labeled feature points of the macaque upper limbs in the video using DeepLabCut and realized 3D reconstruction of the model with a psee-3d package in MATLAB. Developed and implemented a convolutional and recurrent neural network model to decode ECoG signals using Pytorch, integrating feature extraction into the convolution and pooling layer and incorporating an LSTM layer to capture state transitions. Achieved an MSE of 0.08, a correlation of 0.8, and a classification accuracy of 87%. Show less

Education

  • Columbia University in the City of New York
    Master of Science - MS, Electrical and Electronics Engineering
    2022 - 2023
  • Southeast University
    Bachelor's degree, Biomedical Engineering
    2018 - 2022

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