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Shravya M
Senior AI/ML Engineer specializing in NLP, LLMs, and MLOps
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LLM/agent workflow engineer with healthcare experience (CVS/CBS Health) who built and deployed a production call-insights platform using Azure OpenAI + LangChain/LangGraph, including sentiment and compliance checks. Demonstrates deep HIPAA/PHI handling (tenant-contained processing, redaction, RBAC/encryption/audit logging) and production rigor (testing, eval sets, validation/retries, autoscaling) to scale to thousands of transcripts.
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Key Strengths
- Built and deployed LLM-powered call-mining pipeline for customer service transcripts (sentiment + compliance + key issue extraction)
- HIPAA/PHI-safe LLM system design (Azure tenant isolation, PHI redaction layer, RBAC, encryption, audit logging, output scanning)
- Scaled production pipeline to thousands of transcripts with autoscaling and robust validation/retry mechanisms
- Designs reliable agent workflows with clear agent boundaries, structured JSON outputs, and layered testing (unit/integration/regression) plus eval sets
- Strong model/retrieval selection approach (right-sizing models for cost/latency; vector and hybrid retrieval with tuning)
- Effective collaboration with non-technical stakeholders using prototypes and plain-language requirement translation
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