I'm a software developer, looking for backend software engineering internship positions for summer 2020. I enjoy learning new skills and challenging my enthusiasm through personal projects.

1. Debbie Liang
(510)-735-7766 | debbieliang-123@berkeley.edu | Berkeley, CA
linkedin.com/in/debbie-liang | github.com/Debbieliang9 | debbieliang9.github.io
OBJECTIVE
To pursue an internship position for the 2020 summer as a Backend Software Engineer or Data Engineer.
EDUCATION
University of California, Berkeley Expected Graduation: May 2021
Major: B.A. Computer Science GPA: 3.76
Related Coursework: Operating System, Database, Security, Efficient Algorithms, Artificial Intelligence
SKILLS
Language: Java, Python, C, SQL, Swift, HTML
Framework and tools: Spring, MyBatis, AWS S3, GCE, JMockit, EasyMock, Swagger, Docker, Spark, Pandas
PROFESSIONAL EXPERIENCE
Yahoo!/ Verizon Media, Software Engineering Intern - Sunnyvale, CA May. 2019 - Aug. 2019
• Initiated a Census project, which enabled fraud detection, avoided data leaking, and improved user experience
by identifying data anomalies in a globally-distributed mission-critical database with billions of accounts
• Utilized multi-threading implementation to take point-in-time data snapshots, encoded to Avro, encrypted
and pushed to AWS S3, and analyzed with Athena SQL query; a patent was filed for the project design
• Ranked 21/ 54 on the ML Recommendation challenge utilizing XGBoost and Neural Network models
Alibaba Co., Software Engineering Intern – Shanghai, China Dec. 2018 - Jan. 2019
• Demonstrated team business logic with a model that fetched data in a MySQL database using MyBatis,
transfer data via RPC and REST interfaces, and put data onto a Message Queue
• Followed the MVC design pattern; based the whole project on Spring/ SOFABoot framework
MealSavvy, iOS Developer – Berkeley, CA Nov. 2018 - Dec. 2018
• Built a social platform which enabled 5.2k+ Berkeley students to see their friends’ transactions on MealSavvy
• Managed the whole project, including negotiating with startup MealSavvy and recruiting team members
Berkeley Neuroeconomics Laboratory, Researcher – Berkeley, CA Sep. 2018 - Dec. 2018
• Eliminated confounding factors in experiments by improving the visualization script using Python
• Visualized data collected from fMRI brain scans using Pandas and Seaborn on Jupyter Notebook
PROJECT
Personalized Restaurant Recommendation (Java): Dec. 2018
• Built an interactive web page for users to save events and view content-based recommendation
• Developed a web service utilizing Java Servlet and REST API to access data from TicketMaster API
Safe2Home (Swift – youtube.com/watch?v=2yTbyzdaHww&feature=youtu.be): Nov. 2018
• Created an iOS App based on Firebase that guides users to walk home safely
• Enabled users to sign in via Google (Firebase authentication), navigate the shortest path to home (MapKit),
match with buddies to walk together (self-designed matching algorithm), one-button call/ text 911
(MessageKit & CallKit), and view the nearby crimes based on geo-location (SpotCrime)
Gitlet (Java): July. 2018
• Implemented version-control system Gitlet that supports Git functions such as staging files, tracking files,
branching file versions, checking file status, etc.
Other projects:
• Movie Classification (Python), Scheme (Python/ Scheme), BearMap (Java), Shape from Stereo (C)
LEADERSHIP EXPERIENCE
UPE, Industrial Relation Committee Chair – Berkley, CA June. 2019 - present
• Connected the top ⅓ Berkeley engineering students with industrial professionals by organizing info sessions,
tech talks, and career fairs; coordinated with engineers and recruiters to optimize the event outcome
• Provided office hours to tutor Berkeley engineering students on interview preparation and academic projects