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Sowmya Sree
Mid-level Machine Learning Engineer specializing in LLM agents, RAG, and MLOps
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Built production LLM systems including a real-time customer feedback analysis and workflow automation platform using RAG and multi-agent orchestration with confidence-based human escalation, addressing privacy and legacy integration challenges. Also automated ML operations with Airflow/Kubernetes (e.g., daily churn model retraining) cutting retraining time to under 30 minutes, and demonstrates a rigorous testing/monitoring approach plus strong non-technical stakeholder collaboration.
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Key Strengths
- Built and deployed an end-to-end LLM + RAG + multi-agent platform for feedback analysis and task automation
- Strong productionization focus: privacy compliance, legacy system integration, and human-in-the-loop escalation
- Iterative supervised fine-tuning with rigorous evaluation for drift, hallucinations, and consistency
- Hands-on orchestration expertise (Airflow/Kubeflow/LangChain) including Kubernetes deployment, monitoring, and scaling
- Automated churn prediction retraining pipeline; reduced retraining time from hours to under 30 minutes
- Reliability engineering for AI agents: clear agent boundaries, unit/integration tests, validation sets, and canary rollouts
- Effective collaboration with non-technical stakeholders via iterative prototyping and requirements translation
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