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Rung-De Chu

Rung-de chu

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location of Rung-De ChuNew York City Metropolitan Area
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Followers of Rung-De Chu2000 followers

  • Timeline

  • About me

    SWE Intern @ Yahoo! | MCS @ Rice | Full-Stack & Frontend Developer | Python • Java • JavaScript • React | Prev @AWS & @Acer

  • Education

    • National central university

      2019 - 2023
      Bachelor's degree computer and information sciences last 60 3.95 /4.3

      Activities and Societies: Student association,Orientation Specialization: Business Intelligence and Analytics, Financial Technology CS-related courses:- Program Design ( Java, C )- Python - Data structure - Algorithms - Unix Operating System - Introduction to Machine Learning - Database Management - Web Programming - System Analysis and Design- Artificial Intelligence and Machine Learning Math-related Courses:- Calculus I II- Statistics I II- Managerial Math - Operation Research

    • National central university

      2021 - 2023
      Minor finance

      Related courses:- Investments- Financial Statements Analysis- Financial Information Management- Risk Management- Financial Management- Money Banking - Intermediate Accounting - International Financial Management

    • Taipei fuhsing private school

      2016 - 2019
      High school diploma

    • Rice university

      2023 - 2024
      Master's degree computer science 3.9

      COMP 531 Web DevelopmentCOMP 533 Introduction to DatabaseCOMP 543 Grad Tools and Models for Data Science COMP 554 Computer ArchticutreCOMP 576 Practical Introduction to Deep Machine Learning COMP 582 Grad Algorithm and DesignCOMP 631 Information RetrievalCOMP 642 Machine Learning COMP 665 Data Visualization

  • Experience

    • Acer

      Jul 2022 - Jun 2023
      Software engineer intern

      • Conducted analysis and processing 100,000+ AWS Cost and Usage Reports records, implementing database optimizations that accelerated query performance by 35%.• Implemented lambda functions to convert data into MySQL format, enhancing time efficiency by 30%.• Developed a Billing Portal System with 20+ APIs using Angular and deployed on AWS EC2, transferring monthly bills automatically for client reconciliation.• Initiated and led a cross-functional team in implementing AWS cost optimization strategies, resulting in a 20% reduction in monthly cloud infrastructure expenses. Show less

    • Amazon web services (aws)

      Feb 2023 - Aug 2023
      Technical support aws educate cloud ambassador

      • Educated 500+ cloud developers and achieved 96% of user satisfaction by publishing and lecturing 5 technical workshops on AWS cloud computing services (Lex, Amazon S3, EC2, Lambda).• Contributed to AWS DeepRacer enterprise technical training, conducted 5 industrial research to develop potential business clients, increasing 15 in client acquisition

    • Yahoo

      May 2024 - Aug 2024
      Software engineer intern

      • Optimized deployments by integrating a CI/CD pipeline with Docker, AWS CodePipeline, and AWS CloudFormation, streamlining workflows and achieving 30% faster deployment process.•Introduced serverless architecture with AWS Lambda, ECS, and GraphQL to enhance system efficiency and reduce operational costs by 20% through optimized database interactions.• Contributed to the Data.All open source by designing and implementing React and Python-based components to enhance UI, integrating robust data interactions with AWS API Gateway and authentication using AWS Cognito.•Enhanced website performance and scalability by integrating AWS CloudFront to reduce content delivery latency. Show less

  • Licenses & Certifications

  • Honors & Awards

    • Awarded to Rung-De Chu
      College Students Research Scholarship Ministry of Science and Technology Jul 2022 • Collected and analyzed over 1000 data sets from MOOCs to investigate the correlation between learners’ behavior and learning outcomes.• Conducted CNN, RNN, and LSTM machine learning models to accurately predict the performance of the learners and the model performance was evaluated with K-fold validation, resulting in a 20% increase in accuracy.• Utilized Pandas and NumPy for data visualization, providing insights for user review and enabling evidence-based decision- making for… Show more • Collected and analyzed over 1000 data sets from MOOCs to investigate the correlation between learners’ behavior and learning outcomes.• Conducted CNN, RNN, and LSTM machine learning models to accurately predict the performance of the learners and the model performance was evaluated with K-fold validation, resulting in a 20% increase in accuracy.• Utilized Pandas and NumPy for data visualization, providing insights for user review and enabling evidence-based decision- making for improvement. Show less