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Samhitha Muvva
Mid-level Full-Stack AI Engineer specializing in agentic systems
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About
At ReferU.AI, designed and deployed an agentic RAG pipeline that automates multi-jurisdiction legal document drafting, emphasizing hallucination reduction through hybrid retrieval, validation agents, guardrails, and iterative regeneration. Experienced with orchestration frameworks (especially CrewAI) and rigorous testing/evaluation practices including human-in-the-loop review, adversarial testing, and production metrics/logging.
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Key Strengths
- Built and deployed production agentic RAG system for legal document drafting across jurisdictions
- Designs multi-agent architectures to reduce hallucinations via retrieval + validation + guardrails
- Strong evaluation discipline: unit/integration/adversarial testing plus production metrics and structured logs
- Balances model/retrieval/prompt choices using requirement-driven framework (criticality, data, latency/cost, failure tolerance)
- Effective collaboration with non-technical legal stakeholders; incorporates feedback into tighter evaluation and multi-step validation
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