LEIWEI ZHENG
Current Address: **** ******** ******, *** ***, Pittsburgh, PA, 15217
Email: *******@******.***.*** Cell: 412-***-****
OBJECTIVE To find a full time job
EDUCATION Carnegie Mellon University Pittsburgh, PA
Master of Science in Mechanical Engineering, GPA: 3.9/4.0 May 2015
Zhejiang University Hangzhou, China
Bachelor of Science in Energy & Environmental System, GPA: 3.8/4.0 June 2013
Quality Engineer intern, MathWorks, May 2014 - August 2014
WORK
Ø Designed new API for graphic testing, transferring interactive test to automatic test
EXPERIENCE
Ø Accomplished all test (~60 test points) for new RPTGEN(report generation) feature
Ø Accomplished all test (~50 test points) for g11n(globalization) feature in graphic part
Ø Experienced with test process and XUnit, able to write high quality test points
Skill: Java, C/C++, Python, JavaScript, HTML, Linux, CSS, MATLAB, familiar with Linux environment
SKILL
Databases: MySQL, NoSQL, PostgreSQL, HBase
Frameworks: Django
PROJECTS Machine Learning and Computer Vision Skill (MATLAB)
Ø Implemented character recogniton algorithm from scanned image, including rotating skewed image to
be horizontal and recognizing using principle component analysis(PCA).
Ø Implemented a scene classification system that used the bag-of-words approach with spatial pyramid
extension, achieved correctness over 80%.
Ø 3D reconstruction from 2D images using triangulation, DoG as detector and BRIEF as descriptor.
Ø Implemented Lucas-Kanade(LK) tracker to track moving car in video.
Object-Oriented Program (Java)
Ø Familiar with different design pattern, experienced with model drawing with UML
Ø Implemented coffee shop application using decorator pattern and strategy pattern
Experienced with compile and build java project with ant, and unit testing and code coverage
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Implemented a Scrabble Game including GUI implementation with observer pattern.
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Blogging Web Site (Python)
Ø UI design with Bootstrap template, detailed improved with HTML/CSS/JS/Ajax
Ø Using Django to implement feature such as registering, posting, searching, recommending friends.
Ø Using PostgreSQL as database to store user information
Twitter Data Analytics Web Service System (Cloud Computing)
Ø A complete web service to query a large processed Twitter dataset(200G) using AWS.
Ø Tomcat front end: EC2 instances in an auto scaling group, using ELB as load balancer
Ø Back end database: Used both MySQL and HBase for database, optimized range query for HBase