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Jessie lyu
Backend Engineer at CMoney | Proficient in C#, Python, C++, C, MSSQL, MySQL, and SQLite
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Jessie lyu

Backend Engineer at CMoney | Proficient in C#, Python, C++, C, MSSQL, MySQL, and SQLite
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CMoney
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San Jose State University
San Jose, CA, USA
Taiwan

Featured Resume

Uploaded on Jun 26th 2024

Professional Background

  • Current status
    Employed
    Open to opportunities
  • Profession
    App Developer
    Back-end Engineer
    Software Engineer
  • Fields
    Software
  • Work experience
    Less than 1 year (Less than 1 year relevant)
  • Management
    None
  • Skills
    Database Management
    Python
    C++
    C
    Java
    SQL
    MySQL
    MonogoDB
    SQLite
    Git
    Github
    Docker
    AWS EC2
    Data Structures and Algorithms
    C#
  • Languages
    English
    Professional
    Chinese
    Native or Bilingual
  • Highest level of education
    Bachelor

Job search preferences

  • Desired job type
    Full-time
    Interested in working remotely
  • Desired positions
    Software engineer
  • Desired work locations
  • Freelance

Work Experience

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Back End Developer

CMoney
Full-time
Dec 2023 - Present
• Maintained and optimized scalable e-commerce services, enhancing system stability and high availability for 6.5 million users and 3 million weekly active users by proactively identifying and fixing bugs • Designed and implemented Onelink to generate multiple tracking links, replacing third-party solutions and saving $1.3 million annually. Conducted load testing to support 3,000 requests per second • Revamped the video list page with GraphQL to fetch user-purchased courses and integrate e-commerce statistics, boosting engagement and achieving 7,000 video sales in one week • Automated deployment with CI/CD pipelines, reducing manual intervention and deployment time by 30%. Refactored logging with Kafka and ELK, improving error tracking and accuracy of purchased records
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R&D Assistant

Jan 2023 - Aug 2023
8 mos
6404 Ivy Ln, Greenbelt, MD 20770, USA
• Streamlined genomic data analysis by utilizing Python and Pandas to handle and optimize genomic data, enabling the identification and analysis of genomic patterns; reduced processing time by 30% • Conducts quality control analysis on genomic data sets using Python to maintain accuracy and reliability, leading to a 50% increase success rate for downstream analysis • Integrated bioinformatics analysis results using Python and the Streamlit framework to develop a highly interactive web application showcasing mobile element evolution in cellular genomes with engaging visualizations

Education

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Bachelor’s Degree
Computer Science
2021 - 2023
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Master of Science (MS)
Computer Science
2018 - 2021
Activities and societies
Women's Basketball Team, Dean's list

Licenses & Certifications

2021 Complete Python Bootcamp From Zero to Hero in Python

Udemy
Credential ID: UC-0aa4b021-992-4a39-81de-b1b5a77c4d52
Issued Jul 2021
No Expiration Date