About

Axiom Data Lab was founded by Guang Ouyang, a former Google Data Scientist with 9+ years of experience spanning production ML systems, predictive modeling, causal inference, experimental design, cross-platform data integration, and large-scale analytical infrastructure.

The firm's work focuses on sovereign ML systems and analytical infrastructure designed for long-term analytical independence, operational freedom, and scalable research automation.

Selected Background & Production ML Impact

• Built and deployed production ML systems in C++ for YouTube Ads ranking under strict latency constraints
• Contributed to systems associated with approximately $400M annual YouTube Ads revenue impact
• Worked on integrating heterogeneous production data sources into ML-ready data structures supporting scalable feature engineering and model training workflows
• Designed reusable ML pipeline frameworks accelerating experimentation and engineering velocity
• Built validation and anomaly detection systems reducing production failures and alert fatigue
• Improved training data quality through large-scale survey initiatives across 40+ countries
• Analyzed ads incrementality and conversion impact using multi-touch attribution models on experimental datasets for causal inference (Python/SQL)