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Ananya Bojja
Mid-level AI/ML Engineer specializing in healthcare analytics and MLOps
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About
AI/ML engineer at Cigna Healthcare building a production, HIPAA-compliant LLM-powered clinical insights platform that summarizes unstructured medical notes using a fine-tuned transformer + RAG on AWS. Demonstrates strong end-to-end MLOps and cloud optimization (distillation, Spot/Lambda/Auto Scaling) with quantified outcomes (~28% accuracy lift, ~40% less manual review, ~25% lower ops cost) and strong clinician-facing explainability via SHAP and dashboards.
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Key Strengths
- Built and deployed an AWS-based LLM clinical insights platform for unstructured medical notes
- HIPAA-compliant ML pipelines (PHI redaction, KMS encryption, IAM least-privilege, CloudTrail auditing)
- RAG + fine-tuned transformer approach to deliver context-grounded clinical summaries and Q&A
- Production MLOps monitoring for drift and reliability (MLflow + Grafana, confidence scoring, human review)
- Latency/cost optimization at scale (model distillation ~35% faster inference; Spot/Lambda/Auto Scaling; ~25% cost reduction)
- Measured impact: ~28% accuracy improvement and ~40% reduction in manual review time
- Effective cross-functional delivery with non-technical clinical stakeholders using SHAP explainability and dashboards
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