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Archana yaramala
Mid-level AI/ML Engineer specializing in deep learning, MLOps, and LLM applications
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About
Built and deployed production LLM assistants for internal Q&A and customer-feedback summarization, emphasizing reliability (RAG, prompt tuning, validation/whitelisting) and privacy safeguards. Improved adoption by adding explainable outputs and a user feedback mechanism, and has hands-on orchestration experience with Aflow and Azure Logic Apps.
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Key Strengths
- Built and deployed an internal LLM assistant integrating multiple systems with guardrails
- Practical hallucination reduction and sensitive-data protection via prompt tuning and validation layers
- Reliability-focused AI workflow design with measurable metrics (accuracy, latency, error rates) and iterative monitoring
- Improved user adoption and trust by adding explainability and a feedback loop post-deployment
- Effective collaboration with non-technical stakeholders using prototypes and iterative refinement
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