Graduated from UC Berkeley in Dec 2020.

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 a full-time position for the 2021 Spring as a Backend/ Infra Software Engineer.
EDUCATION
University of California, Berkeley Expected Graduation: Dec 2020
Major: B.A. Computer Science & Data Science GPA: 3.76
Related Coursework: Machine Learning, Parallel Computing, Computer Security, Operating System, Database
Systems, Probability for Data Science, Artificial Intelligence, Efficient Algorithms
SKILLS
Language: Java, Python, C, SQL, Haskell, Swift
Framework and tools: Spring, MyBatis, AWS S3, JMockit, Docker, Mercurial, Spark, Pandas
PROFESSIONAL EXPERIENCE
Facebook, Software Engineering Intern – Menlo Park, CA May. 2020 - Aug. 2020
• Disabled 100K+ malicious users with unsupervised learning in N-Gram Action Sequence Clustering
• Detected anomalous Instagram users with an Action Sequence KNN Embedding Clustering pipeline
• Initiated a Weekly Activity Report project to present action counts to Facebook users
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 Group, Software Engineering Intern – Shanghai, China Dec. 2018 - Jan. 2019
• Fetched business demo data with MyBatis, and enqueued data Message Queue via RPC and REST interfaces
• Followed the MVC design pattern; based the whole project on Spring/ SOFABoot framework
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 (Personal project - 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 (Group project - 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)
Other projects: Movie Classification (Python), Gitlet (Java), BearMap (Java)
LEADERSHIP EXPERIENCE
Upsilon Pi Epsilon, International Honor Society, Industrial Relation Chair – Berkeley, 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
PERSONAL INTEREST
• Taekwondo black belt holder🥋; lead a professional team and won the 2017 National Championship in China