Lacey Liu's resume for SDE positions in Seattle

1. Lacey (Xi) Liu
Seeking for software engineer opportunities in Greater Seattle Area
Email: laceyliucmu@gmail.com
Mobile: 412-818-7300
EDUCATION Carnegie Mellon University, United States Aug 2014 - May 2016
Master at Language Technologies Institute, School of Computer Science (GPA 3.90)
University of Toronto, Canada Jan 2012 - Jun 2012
Academic Exchange Student at Department of Computer Science
City University of Hong Kong, Hong Kong Aug 2009 - May 2014
- Bachelor of Science (Honors) in Computer Science (Major GPA 3.78)
- Distinguished Bachelor Student Thesis (Top 10 among 128)
SKILLS AND
COURSES
C/C++, Java, Python (Pandas, Scikit-Learn), R, SQL, Hive, Pig, Hadoop, Spark, Lucene, Caffe, Tensorflow, AWS
Databases, search engines, natural language processing, machine learning, data visualization, deep learning
WORK
EXPERIENCE
Software Engineer – Oracle Cloud Analytics JUL 2016 – Present
- Introduced machine learning and NLP to Oracle Business Intelligence server. Prototyped SVD method for data
discovery with 0.9+ precision, created evaluation metrics and built automatic testing from scratch. Created
canonical operator and keyword operator for streaming text data preparation.
- Developing graph parser, query rewriter, and incremental pipeline of Dataflow, a highlighted new feature to
support designing data analytic pipelines with DAG. Enhanced BI server performance in speed with query
optimization and caching, and memory usage with compression.
Software Engineer Intern - Nokia Networks, United States May 2015 - Aug 2015
- Analyzed and visualized log data to support urgent system diagnosis.
- Expedited documentation migration to wiki by creating a doc parser and markdown text generator. Built
encryption testing tool from scratch, supporting visualized AES/DES test cases generation and comparison.
Software Engineer - Hong Kong Stock Exchanges, Hong Kong Jul 2012 - Jun 2013
- Refactored and improved performance on listing platform backend. Developed modules to retrieve data from
Shanghai Stock Exchange in .Net and SQL.
- Planned version control system migration and prepared targeted trainings for all stakeholders.
PROJECTS Deep Thought (Team of 9) Nov 2015 - Apr 2016
- Interactive web application to design deep learning neural networks and perform experiments
- Python, Caffe, Tensorflow, Django, Flask, MySQL
Natural Language Question Answering System (Team of 4) Feb 2016 - Apr 2016
- Application with NLP techniques and HMM to generate and answer questions on Wikipedia
- Python, Stanford NLP Tookit, entity extraction, TF-IDF, Cosine Similarity
Deep Learning on fMRI to Words Feb 2016 - Apr 2016
- Multi-category classification experiment to apply CNN to translate volunteer’s fMRI to word he/she was reading
- Python, Caffe, Convolution Neural Network, Matlab, regularization
Distributed Search Engine Implementation Feb 2015 – Sep 2015
- Search engine with operators, 4-level retrieval model, and SVM for a large text corpus on a 4-PC cluster
- Java, Lucene, RPC, BM25, Indri, SDM, Multiple Representation, Pseudo-relevance Feedback, Learn to Rank
Predict and Enhance Wine Quality with Machine Learning Oct 2014 – Dec 2014
- Experiment to classify wines with 74.56% precision and find deterministic ingredients for wine quality
- Python, Java, Logistic Regression, Neural Networks, SVM, Feature Selection, Error Analysis
Fax OCR System, Digitizing Fax Medical Record (Team of 9) Oct 2014 – Oct 2015
- Software to detect form fields, extract text from softcopies with precision of 80.9%
- Java, OpenCV, Tesseract OCR Engine, Machine Learning, NoSQL, Scrum