Elena Liu
Trust & Safety Program Manager · AI Operations Manager
Results-oriented Program Manager with 5+ years specializing in Trust & Safety infrastructure and AI-driven workflow automation.
Results-oriented Program Manager with 5+ years specializing in Trust & Safety infrastructure and AI-driven workflow optimization. At Moody's Analytics, led the integration of 3 legacy moderation tools into a unified Internal Safety OS — reducing moderator onboarding time by 40%.
Proven track record with AI/LLM in production: deployed LLM-assisted moderation assistant that improved accuracy 22% and reduced AHT 15%; automated 65% of Tier-1 content reports with ML classifiers; built Python classification system that expanded automation coverage 35%.
Technical toolkit: SQL, Python (Pandas/Scikit-learn), Tableau/PowerBI, Jira, Confluence, Databricks, dbt, GCP. B.E. from Sun Yat-sen University, M.S. Policy Analytics from Pepperdine, M.S. Computer Science from Georgia Tech (in progress).
Experience
Product Operation Program Manager
Moody's Analytics — Unified 3 legacy moderation tools, deployed LLM-assisted moderator agent, led automation evaluation strategy
Product Operation Specialist
Flip — 65% Tier-1 report automation, supported GenAI policy enforcement tool pilot, 12% decision speed improvement
Data Governance Analyst
LeanData — JSON taxonomy standardization, Python classification automation, 35% automation coverage expansion
Project Manager
Modis (Adecco / Akkodis) — 4 concurrent IT infrastructure projects, 98% on-time delivery, real-time Power BI executive dashboard
Projects
Moderation OS (Moody's)
Unified 3 legacy tools, LLM-assisted moderation, 40% onboarding time reduction
Automated Content Triage (Flip)
ML classifiers automating 65% of Tier-1 report processing
Data Governance Framework (LeanData)
JSON taxonomy standardization, Python auto-classification, 35% coverage increase
Certifications
Anthropic
Databricks
AWS
dbt Labs
Education
- Georgia Institute of Technology — M.S. Computer Science / OMSCS (in progress)
- Pepperdine University — M.S. Policy Analytics
- FullStack Academy — Software Engineering
- Sun Yat-sen University — B.E. Communication Engineering
Community
Frequently Asked Questions
Who is Elena Liu?
Elena Liu (also known as Yingshi Liu) is a San Francisco Bay Area Program Manager specializing in Trust & Safety infrastructure and AI-driven workflow automation. She currently works as a Product Operation Program Manager at Moody's Analytics, with 5+ years of cross-functional project management experience across Flip, LeanData, and Modis (Adecco Group). She holds a B.E. in Communication Engineering from Sun Yat-sen University, an M.S. in Policy Analytics from Pepperdine University, and is currently pursuing an M.S. in Computer Science at Georgia Tech (OMSCS). No sponsorship needed.
What are Elena's specific Trust & Safety results?
At Moody's Analytics, Elena led the integration of 3 legacy moderation tools into a unified Internal Safety OS — reducing moderator onboarding time by 40%. She partnered with the AI Research team to deploy an LLM-based moderation assistant, improving accuracy by 22% and reducing average handle time (AHT) by 15%. She also defined the overall evaluation strategy using a Safety Index System tracking Precision, Recall, and False Positive Rates. At Flip, she used ML classifiers to automate 65% of Tier-1 content reports, improving moderator decision speed by 12%.
What technical skills does Elena have?
Elena's technical toolkit includes: AI/LLM (Claude, OpenAI, Meta AI LLaMA, Databricks MLflow, Guardrail AI), data analysis (SQL, Python with Pandas/Scikit-learn, Scala, Tableau/PowerBI, dbt), data engineering (Airflow, Snowflake, Databricks, AWS Glue, S3), cloud (GCP), databases (PostgreSQL, MySQL, MongoDB, Cassandra), and LLMOps (Langfuse, Streamlit). Certifications: Anthropic AI Fluency (2026), Anthropic Introduction to Claude (2026), Anthropic AI Capabilities and Limitations (2026), Databricks Certified Data Engineer Associate (2025), AWS Certified Data Analytics (2025), dbt Analytics Engineer Certification (2026).