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Sathvik Vanja
Mid-level AI Engineer specializing in GenAI, LLM integration, and RAG pipelines
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Built and led deployment of an autonomous, self-correcting multi-agent knowledge retrieval and validation system at HCA Healthcare to reduce heavy manual research/validation in clinical/compliance documentation. Deeply focused on production reliability and cost—used LangGraph StateGraph orchestration plus ONNX/CUDA/quantization to cut GPU costs by 25%, and partnered with the Compliance VP using real-time contradiction-rate dashboards to hit a 40% automation goal without compromising compliance.
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Key Strengths
- Led and deployed a production autonomous knowledge retrieval/validation system in healthcare compliance
- Reduced manual research/validation workload by targeting 40% workflow automation
- Optimized multi-inference LLM system performance using ONNX/CUDA/quantization, cutting GPU costs by 25%
- Architected deterministic, self-correcting multi-agent workflows using LangGraph StateGraph
- Designed reliability evaluation with adversarial testing plus a dedicated validation/audit agent
- Built monitoring around contradiction rate and groundedness, including real-time dashboards for stakeholders
- Strong cross-functional communication with non-technical compliance leadership by translating technical risk into compliance metrics
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