• 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.

• Led roadmap and go-to-market strategy for an enterprise health tech SaaS platform processing 850K+ monthly claims via HL7 FHIR R4 APIs, streamlining claims cycle time 40%, scaling auto-adjudication to 91%, and generating $4.2M in annual client savings with 94% NRR and near-zero churn.

• Prevented $8.7M in avoidable care costs by shipping Azure Synapse clinical decision support dashboards, with XGBoost and LightGBM models dropping readmissions 31%, emergency visits 35%, and supporting prior authorization and value-based care workflows.

• Built an ML billing fraud detection system identifying $9.1M in annual anomalies at 94% precision, slashing analyst review time 63% and compressing audit prep from 3 weeks to 4 days.

• Improved client relations by redesigning the provider portal through 60+ customer discovery sessions, lifting adoption from 54% to 81%, shortening task

completion time 48%, and boosting provider NPS from 34 to 67 through close customer success collaboration.

• Designed a FHIR R4 interoperability layer using Mirth Connect, bridging Epic, Cerner, and Allscripts with real-time data exchange and accelerating health system onboarding from 12 weeks to 3.

• Launched a generative AI clinical documentation assistant on Azure OpenAI and RAG, trimming physician documentation time 40%; established responsible AI governance covering HIPAA audit logging and hallucination guardrails.

• Led Agile delivery and risk control planning for a 15-member team across 3 time zones, achieving 95% of story points per sprint and shipping 14 consecutive on-schedule quarterly releases with zero P0 incidents.