Machine Learning Engineer
Stripe
Jul 2024 - Current (1 year 7 months)
• Developed AI-driven payment analysis and financial insights platform, enhancing API-based payment processing, fraud detection, and transaction risk scoring, improving predictive accuracy by 18%, collaborating closely with engineering, product, and compliance teams to optimize merchant and customer experience.
• Built scalable ETL pipelines using Airflow, Python, and AWS Glue to process high-volume payment, subscription, and payout data, ensuring data integrity, freshness, and regulatory compliance, reducing ETL errors by 25% across Stripe’s services.
• Engineered merchant, customer, and transaction embeddings using pandas, scikit-learn, and spaCy to model spending patterns, fraud risk, and subscription behaviors, reducing anomaly detect