Résumé

Senior Applied AI Engineer

Healthcare, insurance, document intelligence, agentic workflows, predictive ML, and MLOps.

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Shailesh Dudala

shaileshdudala@icloud.comLinkedInGitHub

I build governed AI systems that turn messy regulated inputs into typed, validated workflows with visible human-review boundaries.

2026 — present

MetLife via Bizintex

Applied AI Engineer Consultant

Designing governed document and claims workflows with typed contracts, validation gates, reviewer fallbacks, and trace telemetry.

  • ≈90% lower document-handling effort in a measured claim-packet workflow
  • ≈50% shorter time-to-claim-payable in a supported workstream
2023 — 2025

Inland Empire Health Plan via Infowave

Lead DS/ML Engineer Consultant

Led local RAG/OCR, healthcare quality evidence extraction, predictive ML, FWA analytics, MLOps, and operational reporting.

  • Cleared a 7K-case review backlog with ≈90% lower review time
  • Improved automated measure closures by 20%
  • Reduced transportation waste by 18%
2020 — 2023

Hexplora

Lead Data Scientist / Product

Built and scaled a predictive analytics platform across nine healthcare programs, combining risk models, data products, and care-manager workflows.

  • $500K in new revenue supported
  • ≈$3M in client performance-based payouts
  • ≈50% faster model deployment cycles
Earlier foundations

CommonSpirit Health · Health New England · University of Chicago · AbbVie

Data science, biomedical informatics, and clinical-data work

Worked across hospital analytics, provider data, biomedical research, clinical sensors, genomics, and public-health modeling.

  • Analytics spanning 142 hospitals
  • 100K+ provider records validated
  • 60% less manual provider-review effort