Patrick Liang is a seasoned technology leader and current CTO with 13 years of experience designing, building, and scaling cloud-native data and machine learning platforms. He has led global engineering organizations and built end-to-end systems that process terabytes of unstructured data and serve millions of users with sub-10ms p95 responsiveness. His strengths span architecture to hands-on execution: distributed crawlers, ML pipelines, massive Elasticsearch and Redis deployments, resilient autoscaling spot fleets, and CI/CD-driven containerized infrastructure. He has a proven track record of driving multi-million dollar AWS cost savings through strategic capacity and data-tiering decisions while maintaining compliance with ISO 27001, SOC II, GDPR and CCPA. Based in the Bay Area and educated at Caltech, Patrick pairs deep technical rigor with strong people development, mentoring senior managers and ICs to scale both systems and teams. A less obvious asset: he repeatedly moves projects from R&D into production-grade, high-throughput services that power real-time analytics and generative AI at scale.
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Patrick Liang - Chief Technology Officer at Chinchill AI