Ananya Bojja

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.

Experience

Education

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