Engineer Software

Can (Liam) Zhao

Email: **********@*****.*** Tel: 202-***-**** GitHub: https://github.com/VLiamZhao SUMMARY

A solid software engineer recently graduated with a Master’s degree in Computer Science. With two years of project experience in back-end software development. Strong knowledge and programming skills in Java. Familiar with frameworks (Spring Boot, Hibernate), and cloud platforms, including AWS and Azure. EDUCATION

George Washington University January 2019 - August 2020 (Expected) M.S. in Computer Science GPA:3.64/4.0

Jilin University September 2003 - July 2007

B.Eng. in Electronic Information Science and Technology TECHNICAL SKILLS

• Languages & Frameworks: Java, Python, SQL, HTML, CSS, JavaScript, Spring Boot, Hibernate

• Web Service: AWS: EC2, S3, RDS, SQS, ECR. Azure: Blob Storage, Database, VM

• Databases & Tools: Git, Docker, Maven, Postman, JUnit, Mockito, JWT, PostgreSQL, Oracle and MySQL PROJECTS

Azure, Spring Boot and Hibernate based Project Sharing Platform Web Application http://168.61.221.213:3000/

https://github.com/VLiamZhao/Project-Sharing-Platform

• Built a Project Sharing Platform web service by using Spring Boot and Hibernate framework to better connect graduating students with IT companies

• Designed and implemented the database, simplified and streamlined the database operations with Hibernate

• Designed and implemented role based JWT Stateless authentication security workflow

• Implement the large file management by using Azure Storage Service

• Deployed the backend service by using Docker and Azure Virtual Machine

• Working close with a project manager from Microsoft by following the Agile Scrum development process

• Worked as the Lead of this project and was responsible for the cross-team communication, overall design and module division

A Spring Boot and Hibernate based Car Maintenance Service Web Application https://github.com/VLiamZhao/Car-Maintenance-Service

• Built a car maintenance web service by using Spring Boot and Web Flow with functionalities including service listing, searching, and ordering

• Designed and implemented the database by using Docker PostgreSQL image

• Implemented communication between two microservices by using AWS SQS Standard Queue to decouple the microservice structure.

• Deployed the application and database on the Cloud by using AWS EC2 and RDS web service AWS based Job Recommendation Web Service Development https://github.com/VLiamZhao/Job-Recommendation

• Built a web application to search the recommended job positions based on user’s location and preference

• Created three Java servlets with RESTful APIs to handle HTTP requests and responses

• Stored position data fetched from Github API by using MySQL database on Amazon RDS

• Extract keywords from description of positions by using MonkeyLearn API

• Designed algorithms (content-based recommendation) to implement job recommendation

• Deployed the application on the cloud by using Docker, Tomcat and AWS EC2 web service

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