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Binita Chourasia

Mid-level GenAI Engineer specializing in RAG, LLMs, and enterprise AI

Cardinal HealthRivier University4 Years ExperienceMid LevelWorks On-Site

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About

Built and shipped production LLM agents that automate document processing and decision workflows, with a strong focus on reliability, guardrails, and measurable business impact. Stands out for combining RAG, tool calling, evals/monitoring, and ERP integration to deliver 30-35% manual effort reduction and higher throughput without additional headcount.

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Key Strengths

  • Shipped production LLM agents with 99.5%+ uptime
  • End-to-end agent architecture for retrieval-reasoning-action workflows
  • Strong reliability engineering for AI systems
  • Designed fallback and guardrail mechanisms to reduce hallucinations and bad actions
  • Built evaluation and monitoring loops using offline and online metrics
  • Improved retrieval reliability through hybrid search, re-ranking, and context filtering
  • Integrated agents with messy ERP data using validation and idempotent APIs
  • Delivered 30-35% reduction in manual effort
  • Increased processing speed and throughput without adding headcount

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Experience

Gen AI EngineerCardinal Health · Feb 2025 – Present
AI/ML EngineerPayPal · Jun 2023 – Jul 2024
Data ScientistVerizon · Jun 2021 – May 2023

Education

Rivier Universitymaster, Computer Science
Jawaharlal Nehru Technological Universitybachelor, Electronics and Instrumentation Engineering

Languages

English

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Typically responds within 24 hours

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Binita ChourasiaMid-level GenAI Engineer specializing in RAG, LLMs, and enterprise AI