Software Engineer

Yuki He  • Peerlist

• Developed an advertising management system based on Spring Cloud for more accurate advertising delivery. • Applied Netflix Eureka and Zuul for service registration and service gateway. • Designed a unified response format and global exception handler to facilitate debug and reduce coupling in exceptions. • Implemented the features of ads public and retrieval with Spring MVC. • Developed advertisement index service to speed up retrieval in 100ms and filter by content and location strategies. • Utilized Feign to call microservices and Hystrix dashboard for monitoring the fuse. • Performed application interface tests of public and retrieval features to ensure that the system works consistently.

Advertising Management System (Java, Spring C

•	Project was implemented with Scala and Flink framework. •	Utilized DataStream API connected with Kafka to analyze hot items every 5 minutes in the last hour by window functions. •	Calculated website page visits and the number of unique visitors in streaming data. •	Using Apache Maven for building the project and managing dependencies better.

E-commerce Real-Time Analysis by Flink

•	Implemented ETL process with Microsoft SQL Server Integration Services. •	Designed a detailed dimensional model based on Star schema. •	Created dashboards with PowerBI to visualize product sales and marketing strategy.

Fudge Corporation Data Warehouse and BI Solut

• Developed an E-book management system based on Spring MVC to summarize knowledge we learned in school. • Used Vue CLI and Ant UI Design to implement and design the front-end web application with Vue.js. • Implemented user management and login status verification by Redis and authority management by interceptors. • Applied MyBatis for data persistence to complete the development of E-book management features. • Designed database snapshots and implemented statistical models to visualize the trends of visits and likes of documents. • Utilized Spring scheduled to update reading and like count to improve database operation efficiency and robustness. • Managed the version control with Git and Maven and deployed the system by Docker.

iBranch Wiki System (Java, Spring Boot, MySQL

• Applied PySpark for batch processing and data pipelines design to compatibly handle Spark’s functionalities on further data processing. • Concluded business insights by exploring data analysis on houses popularity based on rooms and location factors. • Cleaned a 10k house info dataset by imputing missing values and categorizing features so as to make full use of this dataset for further analysis. • Built a recommendation engine using ALS algorithm on user’s analysis combined with K-Means on houses clustering and achieved satisfactory recommendation result based on cross-validation and user feedback testing.