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Vaidik Vyas
Mid-Level AI Backend Engineer specializing in Python, LLM/RAG, and healthcare/insurance platforms
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About
AI Backend Engineer in MetLife’s claims technology group who built and deployed a production LLM-based decision support system that helps claim adjusters quickly find relevant policy rules from long PDFs and historical notes. Designed it as multiple production-grade services with retrieval-first guardrails, continuous validation, and Airflow-orchestrated pipelines for ingestion, embeddings, and vector index updates to keep the system reliable as policies and data evolve.
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Key Strengths
- Built and deployed a production LLM decision-support system used by claim reviewers during peak cycles
- Strong focus on enterprise reliability: retrieval-first design, constrained generation, and transparency to users
- End-to-end validation mindset (retrieval validation, grounding checks, failure-mode testing) plus post-deploy monitoring
- Operational excellence with Airflow: idempotent/incremental tasks, retries/backoff, backfills, and recoverable pipelines
- Metrics-driven evaluation of AI workflows (success rate, grounding accuracy, latency, cost, fallback rate)
- Effective collaboration with non-technical stakeholders (claim adjusters, product manager) via demos and iterative feedback
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