Data-driven Trust & Safety professional with a background in psychobiology from UCLA and experience at TikTok, Twitter (X), Meta, and Airbnb, focused on protecting users and platform integrity at scale.
Experience
2025 — Now
2025 — Now
Menlo Park, California, United States
• Inauthentic Behavior Risk Analysis & Policy Enforcement: Developed expertise in Meta’s implementation-standard Trust & Safety policies and leveraged them to assess risk patterns, with an emphasis on inauthentic behavior (scams, spam, fake account networks) using threat-disruption investigation techniques.
• Content Integrity Classification & Investigative Analysis: Conducted complex investigations and classification work, including original vs. unoriginal content analysis, supporting accurate enforcement and improved platform integrity outcomes.
• Operational Process Optimization & Team Enablement: Improved team efficiency and quality by streamlining workflows, building project-tracking tools, establishing best-practice protocols, and contributing actionable feedback to enhance onboarding and operational consistency.
• Leveraged prior threat investigation expertise to identify emerging inauthentic behavior patterns, escalate high-risk Trust & Safety cases, and support data-driven policy enforcement and risk assessment decisions.
2025 — 2025
• Geopolitical Risk Intelligence & Impact Assessment: Developed a comprehensive understanding of global geopolitical issues impacting oil and gas operations, assessing their potential effects on security, operations, and business continuity.
• OSINT-Driven Threat Monitoring: Leveraged advanced OSINT tools such as Dataminr, Liferaft, Factal, and proprietary platforms to gather and analyze real-time data, enhancing threat detection and situational awareness across global operations.
• Global Security Threat Alerting: Produced real-time threat alerts on geopolitical and security incidents impacting oil and gas operations, assessing risks to physical security, personnel safety, and global business continuity.
2025 — 2025
2025 — 2025
• Financial Scam Detection & Mitigation: Investigated financial scams, including fake listings and account takeover cases, proactively mitigating risks and preventing user harm.
• Operational Insights & Workforce Analytics: Built a system in Excel to track investigator availability, enhancing resource distribution and operational efficiency.
• Fraud Pattern Recognition & Escalation: Conducted in-depth case reviews to detect repeat scam behavior, escalating high-risk findings to internal enforcement and compliance teams.
• Cross-Functional Tooling Optimization: Collaborated with operations and product stakeholders to recommend enhancements to ticketing workflows and investigation tools, improving investigator efficiency and case turnaround times.
• AI-Enhanced Investigation Support: Utilized internal AI systems to research various resources for investigations, leveraging automated tools to gather relevant data quickly. Evaluated AI-generated outputs and provided feedback when responses were outdated or inaccurate, ensuring the integration of up-to-date information into the investigation process and improving overall efficiency
2024 — 2024
2024 — 2024
San Jose, California, United States
• Proactive Content Risk Management: Identified, analyzed, and mitigated content risks daily using
advanced data analytical tools such as Excel and SQL with a focus on high-risk events and crises.
• Pattern Recognition and Policy Enforcement: Leveraged data analytics to uncover patterns in
community guideline violations, leading to swift action against various community guideline violations
such as child exploitation, nudity, sexual activity, graphic content through bulk enforcement strategies.
• Rapid Incident Response: Demonstrated exceptional crisis management skills by rapidly responding to
and resolving incidents, ensuring thorough investigations, effective resolutions and communications.
• Strategic Cross-Functional Collaboration: Partnered with internal teams, including Algorithm,
Moderation, Product, and Policy to address content-related challenges and enhance risk mitigation
strategies, driving overall operational efficiency.
• Automation for Enhanced Moderation: Spearheaded the development of automated rules to enforce
community guidelines proactively optimizing content moderation processes by addressing potential risks
before they escalate.
• Documentation and Reporting: Prepared detailed reports on incident trends and violation rate
mitigation providing actionable insights to stakeholders during high-risk and crises monitoring.
2022 — 2024
2022 — 2024
Mountain View, California, United States
• High-Risk and Complex Escalation Management: Effectively managed high-risk escalations
involving account safety, content risk, identity theft, privacy, and intellectual property, ensuring timely
mitigations to user feedbacks. Collaborated with partner teams to conduct thorough investigations and
provide leadership with detailed reports on complex legal and leadership escalations.
• Comprehensive Investigations: Conducted thorough investigations into feedbacks with potential harm
to analyze user behaviors, ensuring effective enforcement and enhancing user and platform safety.
• Cross-Functional Trend Analysis: Collaborated with internal teams to proactively identify and
document emerging problematic trends to improve the organization's strategies on emerging trends.
• Data-Driven Insights: Analyzed user feedback and incident data to provide actionable insights that
informed policy adjustments, contributing to a 15% reduction in reported safety issues.
• Training & Development: Created and delivered SOP training sessions for new hires, cross-functional
teams improving operational knowledge and overall incident resolution times.
Education
UCLA