• Strategy & Platform Engineering
● SaaS platform & infrastructure modernization supporting 120M users. Partnered with product teams and enterprise architects to develop reference architectures and incubate AI enabled services.
• Technical Architecture Leadership
● Architected federated data mesh patterns for 5B+ API workflows with built-in security, data governance, and lineage capabilities. Delivered shared APIs to accelerate onboarding with
1500+ third party partners.
• User enablement & onboarding
● Established a developer self-service portal with onboarding tools, CI/CD templates, support documentation & observability dashboards - cutting developer setup time by 38%.
• Vendor Influence
● Partner with AWS & GCP customer advisory boards influencing observability and cloud native platform roadmaps.
• SRE & Observability
● Built robust telemetry & incident response frameworks across hybrid systems, achieving 99.99% uptime,

• Built 55-person engineering org delivering systems for content personalization & safety across 1.7B users.
• Standardized SLAs across engineering & support teams.Implemented DevOps workflows with release automation and version control, ensuring canary deployment for feature rollouts, reducing MTTR by 23%.
• Architected petabyte-scale real-time pipelines using Presto, Hive, Kafka and Spark, reducing ML model training time by 21%.
• Led technical integrations across product, policy, and external stakeholders to align algorithmic systems with user & compliance needs.
• Anchored the launch of 150+ ML classifiers resulting in 12% increase in user engagement through better personalized content.
• Shifted minor product support from product teams to centralized platform team. Developed runbook, support models, and incident response playbooks for seamless handoff and operational scalability.
• Streamlined foundational datasets & optimized labeling processing thereby
reducing ML trainin