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Harshitha Kotari
Mid-level Data/ML Engineer specializing in NLP, GenAI, and scalable data pipelines
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AI/ML engineer with production experience building LLM-powered document intelligence and customer support systems in healthcare/insurance, emphasizing high-accuracy RAG, long-document processing, and robust monitoring/fallback mechanisms. Also automates and scales ML lifecycle workflows using Apache Airflow and Kubeflow, and partners closely with non-technical operations stakeholders to drive adoption.
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Key Strengths
- Built and deployed a GPT-4 + LangChain RAG document intelligence system for healthcare/insurance documents
- Strong focus on reliability for high-stakes domains (grounding answers in approved internal documents to reduce hallucinations)
- Designed long-document handling with chunking, metadata tagging, and relevance ranking
- Production readiness practices: logging/monitoring of accuracy, latency, failure rates; confidence thresholds and human escalation
- Orchestrated end-to-end ML workflows with Apache Airflow (ingestion, validation, training, evaluation, deployment, retraining)
- Experience with Kubeflow for ML training, versioning, and multi-environment deployment
- Effective collaboration with non-technical stakeholders using outcome-focused communication and iterative feedback
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