Mingyang Xue

424-***-**** ad3pzf@r.postjobfree.com Los Angeles, CA

EDUCATION

University of Southern California, Los Angeles Jan 2022 - Dec 2023

● M.S. in Applied Data Science (Computer Science Department) GPA: 3.81 University of Washington, Seattle Aug 2017 - Jun 2021

● B.S. in Statistics - Data Science; Minor in Mathematics GPA: 3.69 WORK EXPERIENCE

Eth Tech Los Angeles, CA

Backend Developer Intern Jun 2023 - Aug 2023

● Contributed to a project creating a Go-based exchange rate service, developing core features to extract, read and store real-time exchange rates through GraphQL, RESTful and gRPC APIs.

● Integrated with various real-time rate providers to ensure up-to-date and accurate exchange rates and implemented snapshot data storage in MongoDB, distributed exchange rate information via message queues, and managed bulk daily uploads to AWS S3.

● Built in memory Cache and introduced a multi-threaded process to read and update the latest rates, lowering the API latency by 70 %.

● Involved in Unit and Integration Testing, and deployed the Docker image to Kubernetes on cloud infrastructure, ensuring the service was scaled to support 1000+ QPS with low latency and high availability. NeuroLeap Corporation San Jose, CA

Software Engineer Intern Apr 2023 - Sep 2023

● Developed RESTful API endpoints using Go with JWT-based authentication implementation for efficient user identification and successfully achieved server-side integration from the API to the PostgreSQL database.

● Enriched a CRUD API for a Node.js-based backend, adding functionalities to manage articles and events from a Content Management System to the database, facilitating the engineering team in designing and implementing new features.

TikTok (ByteDance) Shanghai, China

Big Data Engineer Developer Intern Oct 2021 - Dec 2021

● Utilized Hadoop API in Java and Hive SQL for ETL processes on multidimensional data of music artists stored in Hadoop Distributed File System, facilitating business analysts in creating detailed dashboards and conducting statistical analyses to accelerate decision-making process for management team.

● Applied PySpark with MapReduce to create, transform and take actions on Resilient Distributed Datasets of monitored music artists and albums.

China Merchants Bank Nanjing, China

Software Engineer Intern (ML) Jul 2021 - Sep 2021

● Implemented a time series forecasting model (LSTM) in Tensorflow to predict conversion rate of bank campaigns with 85 % accuracy. Conducted BI analysis to improve the responding rate by 22 %.

● Conducted model assessment with various metrics and implemented unit tests for each module of code. PROJECTS

Full-Stack Web & Mobile Project: Yelp Business Application

● Designed, developed, and tested a Yelp-like app with 3 major features: 1) business search by attributes; 2) list view of search results; 3) display of photos and aerial map info, fetched from four of Yelp’s API endpoints.

● Full-stack pipeline: Swift for iOS app, Angular and Bootstrap for web app, Node.js and Express framework with Axios for RESTful APIs, MongoDB for storing reservations, Google Cloud Platform for deployment. Analysis of Automobiles in Architected Distributed Data Systems

● Conducted analytical research on used car markets across the country and built predictive models for prices.

● Engineered two distributed data storage systems, one with MongoDB and the other with MySQL, and conducted a performance comparison to evaluate their efficiency.

● Implemented a Python backend with the Flask framework and built a UNIX-like command-line interface. SKILLS

● Programming Languages: Java, Python, SQL, Go, C/C++, JavaScript, Typescript, Swift, HTML/CSS, PHP

● Web & Mobile Frameworks: Node.js, React.js, Angular, Vue.js, Flask, Bootstrap, iOS

● Cloud and Databases: AWS, Microsoft Azure, GCP, PostgreSQL, MongoDB, Hadoop, Hive, MySQL, Redis

● Additional Tools: Docker, Kubernetes, Jenkins, Tensorflow, PySpark, Tableau, Swagger, Git, GitHub

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