University of Southern California

National Taiwan University

Software Engineer II at Twitter  -  ex-Yahoo  -  USC

San Francisco Bay Area

Twitter

Software Engineer II

User Data Platform / Membership Platform

-  Designed and implemented large-scale stateless RESTful Profiling API, which is a centralized Profiling Data Ecosystem, provides data to customers across the company, and serves 150K+ QPS globally
-  Designed and built a secure data ingestion pipeline to consume customer’s Profiling data from Yahoo Grid; the ingested Profiling data is served as the source of multiple company-wise backend services. The new design pipeline reduced onboard of new Grid feeds from weeks to days
-  Maintained and implemented scalable, replicated, and low-latency key-value NoSQL user database service which contains 3B+ user accounts and serves 3M+ QPS globally
-  Was the leader of team’s service operation maintenance, including keeping packages and platforms update-to-date, building configuration management tools and CI/CD pipelines for service deployment on 1000+ hosts, and providing good documentation and an easy-to-understand operational model

Yahoo

Software Engineer

Identity Platform

-  Implemented a stats-logging-service API which handles 1B+ HTTP requests per day for Yahoo login service and saved 30% man-hours in stats logs analysis
-  Wrote 100% coverage unit tests and integration tests for the API using JUnit/JMockit and Cucumber
-  Utilized Splunk to analyze accounts activity and performed data exploration to identify login pattern and prevent from hacking activities using distributed computing (Hadoop, Hive, and PySpark)

Project: Password Security Guard
-  Implemented a new web service serving 700M+ global accounts including Yahoo, AOL, etc, to prevent 50% users from using breached passwords
-  Collaborated with UI designers and implemented grid layout for the new change-password page which adds easy-understanding instructions, saving user 20% time on the page, based on Nodejs architecture and developing/testing on Docker
-  Built a robust service server using Undertow and RESTful API with SSL certificates
-  Integrated codes between Yahoo login service stack, frontend stack, and this new service, including unit tests and integration tests

Design Signoff Team

-  Developed various machine learning algorithms to build predictive analytics metrics to improve chip performances. The scalable solution also reduced run time by 20%
-  Automated 5+ workstreams in the verification phase for IC design using Python-based high-performant algorithms. My work resulted in a 30% performance increase and was standardized into the workflow at MediaTek adopted by more than 50 engineers
-  Managed 3 crossed-team smartphone projects, and applied a more data-driven approach into IC design verification, static timing analysis, dynamic power analysis, yield analysis, and failed chip troubleshooting

Project: Dynamic Power Prediction
-  Developed a machine-learning solution for IC chips to predict power fluctuation under 10% error rate with a 7x time performance increase
-  Trained multiple neural nets and Xgboost Python-based models

Howard Chen