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Krishna Reddy
Mid-level AI/ML Engineer specializing in fraud detection and clinical LLM assistants
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Built and deployed a production clinical support LLM assistant at Mayo Clinic using a LangChain-orchestrated RAG architecture (Llama 2/PaLM) over de-identified clinical records, integrating BigQuery with Pinecone for semantic retrieval. Focused on healthcare-critical reliability by reducing hallucinations through grounding, implementing HIPAA-aligned privacy controls (Cloud DLP, VPC Service Controls), and running structured evaluations with clinician feedback.
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Key Strengths
- Built and deployed a production clinical decision-support LLM assistant (Mayo Clinic)
- Designed end-to-end RAG pipeline integrating BigQuery with Pinecone for grounded medical Q&A
- Reduced hallucinations by grounding responses in retrieved clinical documents
- Implemented HIPAA-oriented controls (de-identification, cloud DLP, VPC Service Controls) in Vertex AI
- Structured evaluation approach for LLM workflows (retrieval precision, response relevance, factual grounding, latency)
- Effective collaboration with clinicians/non-technical stakeholders via iterative feedback on real queries
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