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Yihang Xin
Durham, NC 27705 • (XXX) XXX-XXXX • XXXX@XXXX.XXX •
Rising IT professional with advanced education and practicum experience in Computer Engineering, Software
Development, and Data Science poised to contribute to long-range objectives in a Full Stack Software
Engineer role.
• Software Developer: Design and build software and web applications, processes, and interfaces with
practical experience creating, testing, and implementing new application software and programs (SDLC).
Perform testing, review code, conduct root cause analyses, and solve common structural problems using
design patterns.
• Coding: Knowledge of programming and scripting languages with a solid background in Python, Java,
JavaScript and Go. Ability to lead application testing, solve programming and coding design issues, and fix
the problems within the code.
• Machine Learning: Leverage Big Data to develop cutting-edge software for both commercial and
institutional use. Experienced with machine learning algorithms such as Support Vector Machines,
decision trees, neural network machine learning pipelines, data clustering, and predictive models.
Core Technologies:
Python, Java, JavaScript, Go, SQL, R, MATLAB.
Amazon Web Services, Shell/Scripting, React, TypeScript, HTML/CSS, Git, Docker, Django,
Flask, GraphQL, PyTorch, Scikit-Learn, TensorFlow, Hibernate, JDBC, Spring, Express,
jQuery, Redux, Hadoop, Hive, Pig, Spark, Natural Language Processing (NLP). EDUCATION
Master of Science in Biomedical Engineering, Duke University; Durham, NC (Expected May 2020)
Concentration in Computer Engineering & Data Science GPA 3.6-4.0
Bachelor of Science in Biomedical Engineering, University of California, Irvine; Irvine, CA (2017)
Concentration in Computer Science
University Coursework: Computer Systems, Software Engineering, Distributed Systems, Database Systems,
Cloud Computing, Machine Learning, Enterprise Storage Architecture
Woo Center for Big Data and Precision Health, Durham, NC
Data Scientist, 4/2019 – 10/2019
Technologies: Python, MySQL, Machine Learning.
Conducted data analysis on large-scale clinical data and electronic health records. Interfaced with Duke
Hospital physicians to determine data entry methods and perform a gap analysis. Built and incorporated
natural language process (NLP) and other machine learning predictive models based on patient numerical
values (vitals). Increased classification accuracy by 3%.
UCI Health Beckman Laser Institute & Medical Affiliates, Irvine, CA
Research Assistant, 10/2015 – 6/2017
Technologies: Python, MATLAB.
Yihang Xin
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Awarded leadership of the OCTIVUS Design Team in 2017 for the design of desktop software for the Optical
Coherence Tomography image system. Conducted GUI, performance, and reliability testing. Served as Team
Presenter for Poster and “Preparation of Business Canvas Model” presentations.
Medical Imaging Desktop Application
Technologies: Python, Flask, REST API, MongoDB.
Developed a desktop application which applies an image processing algorithm to adjust visual contrast to
better enable doctors and technicians to diagnose eye problems. Built an intuitive graphical user interface with
password authentication. Executed unit testing and continuous integration. The Professor ranked this Team
Project best out of ten in the class.
Online Food Ordering Web Application
Technologies: JavaScript, HTML/CSS, React, Redux to build front-end, Google Firebase for back-end service.
Built a full-stack web application from sketch. Implemented passport authentication.
Fabfix E-Commerce Web Application
Technologies: HTML/CSS, jQuery, Java Servlet JSP, MySQL database through JDBC.
Created a one-stop E-commerce web application for movie searching, browsing, and ticket purchasing.
Visitor Registration Web Application
Technologies: Java, HTML/CSS, Spring, Hibernate, and MySQL.
Used Model View Controller design pattern to create a web application for users to support CRUD with
MySQL database.
NBA News & Statistics Hub
Technologies: JavaScript, R.
Designed a real-world NBA News and Statistic Hub with GUI and used web scraping to connect to News API.


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Member since: 2019