• Built backend system for automated price adjustment to follow competitors' price

• Designed and implemented production-quality API (gin-gonic) by collaborating with the frontend, DevOps, QA, and data team, which are located across Beijing, Taipei, and Shenzhen. • As a technical scrum master, coordinated the front-end, backend, and data team to responsively iterate our product which is used by fortune 500 corporations.

• Implementing the service of finding embedding KNN (based on Spotify Annoy) used in the recommendation engine. • Refactored the legacy REST API to gRPC used in advertisements impression data collection. • Designed the user behavior tracking mechanism embedded in Ettoday's news. • Established an anomaly detection system based on Prometheus to monitor all of the data team's services. • Designed and implemented the graph algorithm (trillion-level computing job on Spark in ~5 mins) aiming at the Entity Resolution problem which accuracy is 96%. • Implemented the Nginx load balancer based on the HashiCorp Consul template. • Enhanced the CD flow by introducing the Jenkins pipeline into the deployment workflow. • Enhanced the front-end, integration test, and Spark UDF of ETtoday's in-house Spark-based ETL tool.

• Mining the latent impact factors from the data of sales orders by collaborating with NXP's sales, operation, and finance team. • Improved the development quality by defining the critical path test for NXP’s core business logic. • Enhanced the data quality by refactoring the legacy Salesforce Apex code used in the approval flow of the sales business pipeline.

• Conducted microeconomics research to improve the diffused model used in computer science and social networking study