ALINA DING

Santa Clara, CA ***** ad3zpw@r.postjobfree.com 408-***-**** LinkedIn: yidingAlina Github: AlinaYI EDUCATION

Northeastern University Sep 2022 – Dec 2024

Degree: Master of Science in Computer Software Engineering GPA: 3.8/4 University of California, Davis Sep 2017 – Jun 2021 Degree: Bachelor of Arts in Applied Math GPA: 3.2/4 SKILLS

Programming Language: Python, Java, JavaScript, C/C++ Database: MySQL, SQL, Redis, MongoDB

Frameworks: Bootstrap, Vue.js, React.js, Backbone.js, Node.js, Spring boot, Django, Kafka, AWS, Express.js WORK EXPERIENCE

Menusifu Inc (Python,React.js, Node.js, Express.js, Nginx, LVS, APIs) Nanjing Software Engineer Intern May 2022 – Aug 2022

● Constructed and refined a large-scale online food ordering platform with over 1,000,000 registered users across 25 regions in China.

● Engineered the front-end section of the customer-facing application with React.js, allowing customers to customize their shopping carts.

● Spearheaded the integration of unit and integration testing frameworks, achieving a test coverage of 75%, which ensured higher code quality, reduced bugs, and facilitated smoother feature rollouts.

● Consolidated back-end logic, deployed server routes with Node.js and Express.js, and delivered online Payment Module by integrating Transport Layer Security (TLS) and Stripe API.

● Implemented load balancing using Linux Virtual Server (LVS) and Nginx, increasing Queries Per Second (QPS) from 50/s to 200/s, marking a 300% reduction in load.

● Integrated Mutex with SETNX in Redis and added in Memcache to reconstruct the system and solve cache penetration and cache avalanche issues, improving system availability by 200%. PROJECTS

COVID-19 Data Source (Python, React.js, MySQL, Google Maps API, MarkerClusterer) Nanjing Web App – Fullstack

● Developed a comprehensive web application providing real-time global COVID-19 statistics, focusing on case and recovery data with detailed country-specific (United States) reports.

● Implemented efficient data processing techniques using MySQL, enhancing database performance through Dense Index and Query Caching, reducing query response times by 71%.

● Engineered the front end with React.js, creating interactive charts and graphs for data visualization and intuitive user interface design.

● Incorporated a recommender system using matrix factorization techniques, tailoring content to user preferences based on browsing history.

● Integrated Google Maps API for a live, interactive world map visualization, employing data clustering with MarkerClusterer to handle large datasets effectively. ColorHub (Javascript, React.js, Node.js, Express.js) San Jose Web App – Fullstack (https://colorhub-7a4566bc0792.herokuapp.com/)

● Developed a vibrant and user-friendly web application with React, specializing in color palette creation and management, which enhanced user engagement by 50%.

● Innovated with a dark mode toggle feature, aligning with modern UI trends and user preferences, which was positively received and used by 70% of the user base.

● Designed and integrated a color hex code copy feature, significantly simplifying the user experience for color selection and usage, resulting in a 35% increase in return user visits.

● Incorporated efficient pagination for color palettes, handling the display of over 100 unique palettes, which optimized page load times by 40% and improved overall site performance.

● Focused on a responsive and dynamic user interface, ensuring seamless interaction and functionality across various devices, leading to a 25% increase in mobile user engagement.