LEIWEI ZHENG

Current Address: **** ******** ******, *** ***, Pittsburgh, PA, 15217

Email: acgmv5@r.postjobfree.com 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

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