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Rajan Souda
Mid-level AI Engineer specializing in Generative AI and MLOps
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About
Built and deployed a production LLM-powered clinical support assistant at BJC HealthCare (RAG + transformer) to answer patient questions, summarize clinical notes, and support appointment workflows. Implemented PHI-safe data pipelines (Spark/Hadoop/Kafka) with automated scrubbing, dataset versioning, and audit logs, and runs the system on Docker/Kubernetes with Pinecone vector search while partnering closely with clinical operations staff.
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Key Strengths
- Built and deployed a production LLM clinical assistant using RAG and transformer models
- Healthcare/PHI-aware data engineering (preprocessing, scrubbing, audit logs, dataset versioning) for compliant LLM pipelines
- End-to-end MLOps and orchestration across Airflow/Kubeflow with CI/CD (Jenkins, GitHub Actions)
- Systematic AI agent testing and evaluation with component-level tests, edge cases, and production monitoring for drift
- Strong stakeholder collaboration—shadowed clinical coordinators/patient access staff to translate workflows into AI requirements
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