At a leading startup, I spearheaded the development and implementation of Trust & Safety systems to protect millions of users from abuse, fraud, and harmful content. I led a cross-functional team of engineers, data scientists, and moderators to design and scale robust content moderation models and abuse detection algorithms. My focus was on building scalable systems using machine learning, real-time data analysis, and automated workflows to tackle a variety of complex challenges, from fraud prevention to content filtering. I also collaborated closely with senior leadership to ensure the alignment of Trust & Safety strategies with the company’s growth objectives, ensuring both user safety and platform integrity.

As a Tech Lead specializing in content moderation modeling at a leading FAANG company, I built and scaled sophisticated models to detect and prevent abusive content at massive scale. Our expertise includes designing and deploying machine learning algorithms for real-time content moderation, improving user safety, and reducing operational costs. I led cross-functional teams, collaborated with product and engineering departments, and continuously optimized moderation systems to handle diverse and evolving challenges across global platforms.

As an Engineering Manager (EM) in the fraud prevention team at a leading FAANG company, I was responsible for leading and guiding a team of talented engineers focused on developing innovative solutions to detect and mitigate fraudulent activities across a wide range of products and services. My role involved overseeing the design, implementation, and optimization of machine learning models, rule-based systems, and data-driven algorithms to proactively identify and prevent fraudulent transactions or behaviors.