Teams at Netflix

Design and build high-volume, low-latency Conversion APIs and audience onboarding systems to ingest consented advertiser events (server-to-server, pixel, batch). Develop streaming and batch pipelines (Kafka, Flink), enable deduplicated identity-enriched datasets for retargeting, optimization, measurement, and reporting while ensuring privacy and regulatory compliance. Collaborate cross-functionally and provide technical leadership.

Lead ML technical strategy for Live Ads, designing and deploying forecasting, targeting, bidding, auction, and yield-optimization models. Build and evaluate large-scale production ML systems, create online/offline evaluation frameworks, partner with product to set objectives and trade-offs, and communicate results to stakeholders and leadership.

Lead design and implementation of gameplay and engine systems on Linux platforms. Mentor engineers, define technical specs, manage Linux infrastructure, optimize performance and security, integrate art, maintain documentation, support live services and mobile (iOS/Android) ports, and coordinate cross-team standards and tooling.