Apple Inc
– Present
Senior Data Platforms Engineer
– Present
- Optimized runtime for Python microservices to achieve sub-100ms latency at p99.99
- Performed vendor evaluation and developed proof-of-concept for feature toggle APIs
- Architected service mesh (Envoy, OPA) with dynamic traffic routing and service authorization
- Developed CI/CD systems (Argo CD) for multi-region zero-downtime microservice mesh
Data Platforms Engineering Manager
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- Managed team of 7 engineers (mid-level to senior)
- Led technical strategy for Apple's fraud data platforms
- Architected migration from on-premises Hadoop to AWS (S3, Iceberg, Spark, Flink)
- Designed statistical reconciliation tools ensuring 99.9%+ data integrity during multi-petabyte migrations
- Implemented streaming pipelines (Kafka, S3) replacing proprietary protocols, ingesting 5+ PB daily at 500+ TPS per topic
- Modernized batch jobs operations on Airflow, achieving 99%+ on-time execution
Data Science Engineering Manager
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- Managed teams of 3-7 engineers (entry-level to senior)
- Led application development for fraud detection and logistics decisions during Apple's critical new product launches
- Replaced multiple legacy enterprise decisioning systems with modern applications running on the Athena platform
- Increased under-represented new hires by 250% with improved hiring guidelines and interview rubrics
- Promoted innovation and team-building with seasonal Advent of Code and "Fraggle" [internal Kaggle for fraud modeling] competitions
- Championed global coordination with teams in US, APAC, & EMEIA on strategic platform initiatives
Senior Data Science Engineer
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- Designed & implemented Athena, establishing Apple's modern fraud-prevention infrastructure
- Created Athena DSL, a high-level workflow application language and runtime used by 500+ developers
- Introduced SWE standards & practices for code review, testing, CI/CD, and operations
- Developed & optimized libraries for feature engineering and data publishing pipelines