• Recovered $195M in failed transactions by redesigning payment routing across 15 processor integrations post-Discover acquisition, slashing failure rates 36% and boosting authorization rates to a company-best benchmark.
• Prevented $4.8M in annual fraud losses by launching an AWS SageMaker fraud detection platform processing 2.8M daily predictions at 85ms latency, lowering false positives 38% and shrinking manual review volume 52%.
• Generated $6.5M in annual revenue and a 22% lift in account opening conversions by eliminating 8 UX friction points identified through customer requirements analysis and Amplitude funnel diagnostics, improving DAU/MAU retention rate 24%.
• Built a reusable A/B experimentation platform on LaunchDarkly and Statsig, running 12 product launch tests to 450K users that drove 28% activation uplift, $3.2M in quarterly GMV growth, and measurable marketplace liquidity gains.
• Led end-to-end ML model lifecycle and model observability on AWS SageMaker, implementing CloudWatch dashboards tracking drift, feature skew, and LLM evaluation frameworks that sustained 98%+ prediction accuracy and trimmed retraining lag from 14 days to 72 hours.
• Launched a developer API platform exposing payment capabilities as versioned REST, GraphQL, and SDK-enabled APIs with OpenAPI specs, JWT auth, and developer experience (DX) onboarding portals, cutting integration from 8 weeks to 5 days across 18 teams and 3 fintech partners.
• Defined OKR frameworks and roadmap prioritization using RICE and WSJF; led stakeholder communication across compliance, security, and engineering through 12-week cycles, maintaining 99.98% uptime and achieving PCI DSS Level 1 certification.