Lead data science initiatives for Google Cloud AI products.

• Developed NLP model that improved search relevance by 15%, impacting 1B+ daily queries
• Led team of 4 data scientists in building recommendation system that increased user engagement by 25%
• Created automated ML pipeline reducing model deployment time from weeks to hours
• Published 2 papers at top ML conferences (NeurIPS, ICML) on efficient transformer architectures

Developed personalization algorithms for content recommendation.

• Built deep learning models for content personalization serving 200M+ subscribers
• Designed A/B testing framework that improved experimentation velocity by 40%
• Reduced customer churn by 8% through predictive modeling and targeted interventions
• Collaborated with product teams to define success metrics and KPIs

GPA: 9.2/10