Dheeraj Vajjarapu

About

Built and shipped a production LLM/RAG risk-case summarization and triage system used by fraud/compliance analysts, with strong grounding controls (evidence-cited outputs and refusal on low confidence). Demonstrates end-to-end ownership across retrieval quality, Airflow-orchestrated indexing pipelines, and compliance-grade privacy (PII redaction, RBAC, encrypted redacted logging, and auditable prompt/model versioning) plus a tight feedback loop with non-technical domain experts.

Experience

Education

Key Strengths

• Built and deployed production RAG system for fraud/compliance case summarization and triage
• Strong hallucination-control approach: evidence-tied claims with low-confidence refusal behavior
• Improves retrieval quality via hybrid search, metadata filtering, and reranking
• Privacy/compliance-by-design: PII redaction, RBAC/least privilege, encrypted redacted logs, audit-ready prompt/model versioning
• Production reliability mindset: Airflow orchestration with dependencies, retries, backfills, idempotent writes, and safe rollback (keep prior index live)
• Rigorous evaluation and release discipline: offline eval sets, continuous monitoring, regression blocking across model/prompt versions
• Effective collaboration with non-technical risk/compliance stakeholders through workflow shadowing and iterative side-by-side output reviews