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Kundhana Paruchuru
Mid-level Data Scientist specializing in ML, LLM pipelines, and MLOps
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About
Built and deployed a production LLM-driven document understanding pipeline using LangChain/LangGraph, focusing on reliability via step-by-step prompting, validation checks, and monitoring. Also partnered with non-technical marketing stakeholders at Heartland Community Network to deliver an XGBoost targeting model surfaced in Power BI, improving campaign conversion by 12%.
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Key Strengths
- Built and deployed production LLM document-understanding/classification pipeline to reduce manual categorization
- Improved LLM reliability by redesigning prompts for step-by-step reasoning and adding uncertainty/validation checks
- Hands-on orchestration of multi-step LLM workflows with LangChain and LangGraph (modular design, retries, error handling)
- Strong evaluation discipline: offline testing, edge-case testing, practical metrics, and post-deploy monitoring/iteration
- Cross-functional delivery: translated marketing goals into an XGBoost model and Power BI dashboards; improved campaign conversion rates by 12%
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