Tianrui Liu Email & Phone Number

United States

Seattle, Washington, United States

Hired via Centific, worked on azure escalation virtual agent project. - Employed a prompt-engineering based method for agent manual review data curation on Azure.- Proposed the idea of auto-evaluating reactivation requests. Built a prototype that reached human-level accuracy on 40-60% coverage.

Irvine, California, United States

work on recommendation and listing value in core experience recommendation team• Played a key role in the core experience recommendation team for establishing the StubHub recommendation service, offering insights throughout the development lifecycle.• Designed a ML model that personalizes based on user profile, location and time context information and category features, which contains a rule-based candidate generator for coarse retrieval, a wide-and-deep ranker for ranking. The pipeline increases the offline hit rate by 60%.• Built the first StubHub real-time recommendation service by developing a data ETL, model training and serving pipeline with Snowflake and PyTorch. Implemented a machine learning inference service based on ONNX runtime in C# .Net and increased conversion rate & gross profit by 2%.• Designed a solution for estimating seat quality score incorporating both history transaction and venue geometry, which increases the coverage by 20% and leads to a 2% CVR increase in A/B test.

- Conducted research on neural operator- Designed machine learning algorithms for solving complex partial differential equations

Robust Rumor Detection with Joint Representations- Proposed a novel framework to combine tweet propagation trees with heterogeneous tweet-user graph, achieve 86.5% accuracy in classification tasks, which outperformed state-of-the-art baselines. Paper submitted to a top conference.- Established a pipeline for Twitter raw data retrieval and processing- Proposed a greedy adversarial attack approach on detection models and demonstrated better robustness

Master'S Degree, Machine Learning And Data Science, 3.8

Enrolled as a PhD student with department fellowship 2021-2022 Courses: · Programming for data analysis · Prob & stats for data science ·.

Bachelor, Electronic Information Engineering, 3.87/4

Activities and Societies: minor in Advanced honor class of engineering education (ACEE)(40/6000) · Provincial scholarships (5%) ·.