Teams at Netflix

Lead and grow a data and ML engineering team that owns end-to-end data foundations for Content Promotion & Distribution. Deliver scalable batch/streaming pipelines, analytical models, and multimodal ML-ready media datasets. Partner with cross-functional teams to prioritize data products, set technical strategy, and enable experimentation and GenAI/ML use cases while mentoring engineers and raising engineering standards.

Build and operate CI/CD pipelines and distributed test infrastructure for Commerce. Develop pipeline orchestration, test scheduling, flaky-test detection, and AI-powered platform features. Triage incidents, participate in on-call rotation, integrate test frameworks, and improve observability and reliability for engineering delivery.

Lead a software engineering team building privacy and data protection tooling across the data lifecycle. Define consumer-centric privacy solutions, partner cross-functionally, drive technical decisions, scale consent management, metadata catalog and protection controls, and measure risk mitigation and enablement outcomes.