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Yuwei(Mary) Yang
5030 Centre Ave
Pittsburgh, PA 15213
H (650) 933-8477
B yuweiyan@andrew.cmu.edu
Looking for a fulltime job as a Software Engineer to contribute my skills of big data processing, REST API development,
cloud computing, clustered analytics engines, and web application development.
Technology Skills
Languages Java, Python, SQL, C, HTML/CSS, Shell Scripting, JS, MATLAB
Stack Hadoop, NoSQL(Druid, HBase, Neo4J), MySQL, PostgreSQL, AWS(EC2, EMR and ELB), Vert.x, Django,
Maven, Mockito, Spring, Openstack, Spark
Education
Dec.2015 Carnegie Mellon University, Pittsburgh, PA.
Master of Science in Electrical and Computer Engineering GPA: 3.7/4.0
Courses Cloud Computing, Software Architecture and Design, Statistical Discovery and Learning, Web Application
Development, Service Oriented Computing, Java for Smart Phone Development
2010–2014 China Three Gorges University, China.
Bachelor of Engineering in Electrical Engineering and Automation GPA: 92.9/100, Ranking: 1/435
Internship
Jul.-Aug.2015 Rubicon Project, Software Engineer Intern, Los Angeles, CA.
Worked in Reporting and Insights Team,built REST API in Vert.x, worked in distributed and parallel
processing environment, built new features to analytics product, used TDD approach and Mockito with
testing, negotiated with business team to better support business requirements.
Experiences Metric and Dimension Filter Design.
Designed reporting route and verticle, built a translator between them to translate input parameters to
Druid Query.
Developed features to filter the results in Dimensions and Metrics through Performance Analytics API.
Projects
Apr.2015 DreamRise Website Design, Carnegie Mellon University.
Designed backend with Django and Python to realize features including registration, email verification, login
system (supports Facebook),create, search and explore activities, profile customization, user interaction,
fund transaction, and planner module.
Website Address: https://polar-castle-8096.herokuapp.com/
Dec.2014 AWS-Based Tweet Analysis Web Service, Carnegie Mellon University.
Implemented front-end framework with Vert.x and back end system with HBase and MySQL.
Loaded 1TB Twitter dataset into database using the extract, transform and load (ETL) process in data
warehousing.
Dec.2014 Built Recommendation System for Yelp, Carnegie Mellon University.
Used 1GB of Yelp reviews as the dataset and developed a Collaborative Filtering Algorithm (Item-Based)
to recommend suitable restaurants to customers.
Linearly blended the Item-Based CF Algorithm with the Alternating Least Square Algorithm, User-Based
Nearest Neighbor Algorithm to achieve a better result: Root Mean Square Error is 1.2489 (A Level).
Nov.2014 Built Input Text Predictor based on N-Gram Generation, Carnegie Mellon University.
Used MapReduce to generate a list of n-grams from Project Gutenberg.
Constructed the statistical language model for all words and phrases in the n-grams counts; Read the
input file from HDFS and inserted the data into HBase; Implemented the function of predicting the word
the user will use.

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Yuwei(Mary) Yang resume

  • 1. Yuwei(Mary) Yang 5030 Centre Ave Pittsburgh, PA 15213 H (650) 933-8477 B yuweiyan@andrew.cmu.edu Looking for a fulltime job as a Software Engineer to contribute my skills of big data processing, REST API development, cloud computing, clustered analytics engines, and web application development. Technology Skills Languages Java, Python, SQL, C, HTML/CSS, Shell Scripting, JS, MATLAB Stack Hadoop, NoSQL(Druid, HBase, Neo4J), MySQL, PostgreSQL, AWS(EC2, EMR and ELB), Vert.x, Django, Maven, Mockito, Spring, Openstack, Spark Education Dec.2015 Carnegie Mellon University, Pittsburgh, PA. Master of Science in Electrical and Computer Engineering GPA: 3.7/4.0 Courses Cloud Computing, Software Architecture and Design, Statistical Discovery and Learning, Web Application Development, Service Oriented Computing, Java for Smart Phone Development 2010–2014 China Three Gorges University, China. Bachelor of Engineering in Electrical Engineering and Automation GPA: 92.9/100, Ranking: 1/435 Internship Jul.-Aug.2015 Rubicon Project, Software Engineer Intern, Los Angeles, CA. Worked in Reporting and Insights Team,built REST API in Vert.x, worked in distributed and parallel processing environment, built new features to analytics product, used TDD approach and Mockito with testing, negotiated with business team to better support business requirements. Experiences Metric and Dimension Filter Design. Designed reporting route and verticle, built a translator between them to translate input parameters to Druid Query. Developed features to filter the results in Dimensions and Metrics through Performance Analytics API. Projects Apr.2015 DreamRise Website Design, Carnegie Mellon University. Designed backend with Django and Python to realize features including registration, email verification, login system (supports Facebook),create, search and explore activities, profile customization, user interaction, fund transaction, and planner module. Website Address: https://polar-castle-8096.herokuapp.com/ Dec.2014 AWS-Based Tweet Analysis Web Service, Carnegie Mellon University. Implemented front-end framework with Vert.x and back end system with HBase and MySQL. Loaded 1TB Twitter dataset into database using the extract, transform and load (ETL) process in data warehousing. Dec.2014 Built Recommendation System for Yelp, Carnegie Mellon University. Used 1GB of Yelp reviews as the dataset and developed a Collaborative Filtering Algorithm (Item-Based) to recommend suitable restaurants to customers. Linearly blended the Item-Based CF Algorithm with the Alternating Least Square Algorithm, User-Based Nearest Neighbor Algorithm to achieve a better result: Root Mean Square Error is 1.2489 (A Level). Nov.2014 Built Input Text Predictor based on N-Gram Generation, Carnegie Mellon University. Used MapReduce to generate a list of n-grams from Project Gutenberg. Constructed the statistical language model for all words and phrases in the n-grams counts; Read the input file from HDFS and inserted the data into HBase; Implemented the function of predicting the word the user will use.