• Developed Near-Real-Time indexing pipeline using Python and Elasticsearch, reducing end-to-end data preprocessing and indexing time from 27 to 7 hours.

• Led the creation of an indexing pipeline to support new file types (PDF, Microsoft Word, and PPT) with Python and Elasticsearch.

• Implemented an index validation tooling and alerting system with Python and Prometheus, ensuring data integrity and enabling custom configurations for different customers.

• Designed and built a Python-based web tool using Django to visualize search index building history and document change logs, enhancing collaboration among non-engineering colleagues.

• Developed 6 automated pipelines with Hadoop, Scala, and SQL for sampling job data and generating CSV files for human annotation in LinkedIn's search and recommendation products.

• Designed and built an automated ML model pre-ramp regression test system with Java and JUnit. Helped avoid ambiguities in manual testing and saved days of manual time.

• Designed a web application system that helps Google Contact Center AI team to demonstrate the usage of the Agent Assist APIs.

• Accomplished the web application with Angular(Typescript) and Django(Python)

• Accomplished a project that help enhanced the modularity of Android operating system by running tests to determine Vendor NDK(VNDK)

• Built a testing system for the Android operating system with C and Shell script