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Binaal Bopanna
Mid-level Solutions Engineer specializing in AI automation and hybrid cloud infrastructure
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About
Built and productionized AI-driven insurance claims document intelligence/automation at American Family Insurance, integrating OCR/NLP models and a rules-based validation layer into existing claims systems via APIs. Delivered measurable impact (≈28% accuracy lift, ≈35% reduction in manual processing time) and modernized legacy workflows with phased cloud migration, feature flags, parallel runs, and CloudWatch-based monitoring.
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Key Strengths
- Owned end-to-end AI claims automation feature (backend, data pipeline, infra) in production
- Improved claim validation accuracy ~28%
- Reduced manual claims processing time ~35%
- Production ML evaluation using historical datasets and manual-review baselines
- Implemented guardrails (confidence thresholds, required-field validation, human review routing)
- Operational monitoring with CloudWatch dashboards (latency, error rates, automation metrics)
- Incremental legacy modernization using modular services, feature flags, parallel runs, and rollback paths
- Cross-functional delivery across operations, data, and infrastructure teams with minimal oversight
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