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Vaishnavi K
Mid-level AI/ML Engineer specializing in GenAI, MLOps, and anomaly detection
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About
LLM/MLOps engineer who has shipped a production RAG-based technical documentation assistant (FastAPI) cutting manual review by 45%, with deep hands-on retrieval optimization in Pinecone/LangChain (HNSW, hybrid + multi-query search, caching). Also brings healthcare domain experience—building Airflow-orchestrated EHR pipelines and delivering FDA-auditability-friendly predictive maintenance solutions using SHAP/LIME explainability surfaced in Power BI.
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Key Strengths
- Built and deployed production RAG LLM system that reduced manual technical doc review by 45%
- Low-latency semantic retrieval optimization (HNSW in Pinecone, metadata filtering, hybrid + multi-query retrieval, caching)
- Reliability-focused LLM workflow design with gold-standard validation and faithfulness/context relevance evaluation
- MLOps deployment experience with Docker/Kubernetes and zero-downtime releases achieving 99.9% uptime
- Orchestrated large-scale ETL/data ingestion with Airflow/Prefect, including multi-source EHR processing with PySpark
- Strong stakeholder communication in regulated healthcare contexts using SHAP/LIME explainability and Power BI to drive adoption
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2 publications
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