PUBLIC RÉSUMÉ / PRIVACY-CLEARED EDITION

Senior Applied AI / ML Engineer

Production Agentic AI · Predictive ML · Document Intelligence · MLOps · Healthcare & Insurance

Shailesh Dudala

shaileshdudala@icloud.comGitHub ↗LinkedIn ↗

I build complete intelligent systems across the applied-ML arc: scientific data, predictive healthcare, analytics products, private document intelligence, MLOps, and production agentic AI. The public edition keeps outcomes scoped and private implementation details withheld.

EXPERIENCE

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

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%

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

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