Yujie Chen

781-***-**** adbgqu@r.postjobfree.com www.linkedin.com/in/yujie-chen-369a30156

***, *** ***** ****, *******, Boston, MA, 02155

EDUCATION

Tufts University, Medford, MA, USA

Aug 2018 – May 2020(Expected)

M.S. in Computer Science Major GPA: 3.89/4.00

Beijing University of Posts and Telecommunications, Beijing, CN Sep 2014 - Jun 2018 B.E. in Internet of Things - First Honors Degree (top 10%) Major GPA: 3.68/4.00 TECHNICAL SKILLS

Programming Languages: Java, Python, C/C++, JavaScript/ES6, HTML5/CSS3, XML, SQL Frameworks and Tools: AWS, Spring Boot/MVC/Cloud, Dagger2, Maven, Hibernate, Netty, Kafka, React, Angular, Vue.js, Node.js, Git, Django, Spark, MapReduce, Hadoop, Scikit-learn, Tensorflow, PyTorch, Keras, Numpy, SciPy, Matplotlib, Mockito, MySql, PostgreSQL, MongoDB

INTERNSHIP EXPERIENCE

Amazon Summer 2019

Software Development Engineer Intern, codePipeline Team, AWS Seattle, USA Ø Abandon Execution Job Broker Work: allowed customer to stop a release and start a new one. Institute ● ● ● ● ● ● ● Designed Developed Designed Optimized Implemented Implemented Realized of Computing authentication and and service backend unit implemented AbandonActionExecution built Technology, tests model the service automatic and with to API with achieve integration internal The flow Java workflow easier Chinese with tool based tests API named AWS management to on to with Academy realize support SQS Coral FeatureFlag Mockito in tool Abandon Job Action of of and Broker, to dependency Sciences ensure to dagger; Execution's Execution guarantee realized logical services Job key-safety status-correctness Broker value and and change storage APIs; improve in AWS and operations maintainable; with CodePipeline; customer AWS Summer in DynamoDB; pipeline; experience 2017 Machine Learning Developer and Tester Beijing, China Ø Review analyze system based on python

PROJECTS ● ● ● ● ● Preprocessed Transfer Reduced Trained Utilized test the text the model set dimensionality into text to vector dataset get using the using SVM accuracy with and algorithm Bags_libraries picked of of_the Words up and like system important scikit-GridSearchCV; and and Word_learn, finally features Embedding; Numpy; reached using PCA a face algorithm; recognition of 90%. Software for booking or buying movie tickets based on MVC Apr 2017 – July 2017

● ● ● ● Database Designed based Built Developed Tested database System on with java; and visible Junit implemented Development to store and User Mockito. the Interface information the of functions with Beijing HTML5; of Subway movies such as and route selecting manage search movie, the system schedule, using site, MySql the and type connected of ticket, Nov 2016 writing using – JDBC; Mar feedback 2017

● ● ● ● ● Deep Built Connected Designed Implemented Compared more neural database than network graphical 98%the with the result to . database shortest store for user with Face Beijing interface using route what Localization subway JDBC; was search with given Java data function in based GUI including the library; with offical on Dijkstra residual station, Beijing algorithm line network subway number, recommendation and nearby A-star scenic algorithm. spots system, with Jan the MySql; 2019 accuracy – Apr rate 2019 is

● ● ● ● ● Handled Preprocessed Designed Prevented Tested the heterogeneous and overfit model images implemented and with with the Dropout image validation scikit-a residual datasets and learn, accelerated accuracy network such with as Python reached standardization model training libraries with 90%process, Tensorflow avoided like and with Numpy, variance overfit Batch and matplotlib PyTorch due Normalization. scaling; to the on and complexity Google pandas; Cloud; of the model.