Senior Staff Engineer focused on enterprise AI platform infrastructure — building multi-agent orchestration systems, knowledge graphs, and LLM-powered automation that power Meta's internal operations at scale.

• Architected a multi-agent orchestration framework deployed across Meta's internal enterprise workflows, reducing manual processing time by over 40% across multiple org-level use cases.

• Designed and shipped an enterprise knowledge graph that unifies structured and unstructured internal data, enabling AI-driven semantic search and automated contract/procurement intelligence.

• Built a tiered document extraction pipeline (rule-based → embedding similarity → Knowledge Graph) achieving 95%+ accuracy while keeping per-document inference costs under control at scale.

• Led GenAI-powered candidate matching service that improved recruiter match accuracy from 26% to 90% and cut average matching latency from 75s to under 10s.

• Established IC8-level external influence: shaped vendor evaluation frameworks and contributed to ontology standards adopted across Meta's AI procurement stack.

Led the engineering organization building Meta's enterprise AI and spend intelligence platform — growing the team from 0 to 50+ engineers globally and delivering $10M+ in annualized savings through AI-driven automation.

• Scaled engineering org from 0 to 50+ engineers across US, and Asia in under 2 years — including hiring, org design, and performance management.

• Delivered $10M+ in annualized operational savings through AI-powered automation of enterprise spend, vendor, and procurement workflows.

• Drove resolution of a high-impact cross-functional alignment impasse, enabling 16 product launches that had been blocked for over a year.

• Partnered with product, legal, and finance orgs to define AI roadmap for enterprise intelligence — from data modeling through production deployment.

Engineering Manager for platform and infrastructure teams supporting Meta's internal operations. Built and led high-performing distributed teams; drove adoption of foundational platform capabilities across business-critical systems.

• Managed multiple cross-functional engineering teams; established a culture of technical rigor, clarity, and execution velocity.

• Led key platform investments in reliability, observability, and scalability for enterprise-facing internal systems.

Individual contributor building core platform features across Meta's internal procurement, sourcing, and vendor management systems. Developed full-stack expertise across distributed services and enterprise data platforms.

• Built foundational features across procurement and sourcing systems, scaling to thousands of daily internal users.

• Contributed to architectural decisions for internal buying and vendor platforms that underpinned subsequent AI automation work.

Built and shipped features across Amazon's payments and financial infrastructure. Gained deep experience in high-availability distributed systems, transaction correctness, and large-scale backend engineering.