Summary
Haotian Wang is a Staff Machine Learning Engineer with 8+ years focused on end-to-end fraud detection and 13 years of engineering experience overall, currently building models to detect and prevent financial fraud at Cash App. He has led cross-functional teams at Twitter and Yelp, modernizing ML toolkits, launching real-time and offline systems, and raising signup fraud capture rates by double digits. Comfortable across the ML lifecycle, Haotian blends data and feature engineering, model training, and A/B experimentation with operational productionization. He also scales impact through mentorship and by creating shared shipping and evaluation standards that align Growth and Fraud objectives. Outside work he applies full-stack skills to nonprofit and hobbyist projects—co-founding GLIDE SF and Jobalytics—demonstrating an uncommon mix of product sensibility and hands-on engineering. Based in the San Francisco Bay Area with a BA in Computer Science from UC Berkeley, he thrives on cross-team collaboration that turns research-grade models into platform protections.
13 years of coding experience
9 years of employment as a software developer
Bachelor of Arts - BA, Computer Science, Bachelor of Arts - BA, Computer Science at UC Berkeley