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Prabhav Karve
Junior Software Engineer specializing in data engineering and AI applications
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Data engineer/automation builder with experience at Rochester Regional Health and Accenture, focused on replacing fragile manual reporting with production-grade Azure, Python, and Snowflake pipelines. Stands out for combining strong systems thinking, rigorous validation, and practical AI/LLM usage to drive measurable outcomes, including a 34% throughput improvement and support for regulatory reporting that helped avoid €150M in penalties.
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Key Strengths
- End-to-end workflow automation ownership in healthcare analytics
- Production-grade Python data pipeline engineering
- Legacy system integration across streaming and batch architectures
- Strong data modeling and KPI standardization
- Scalable config-driven multi-team pipeline design
- Pragmatic stakeholder management with low-risk adoption strategy
- Robust testing and reliability focus
- LLM-powered anomaly detection within secure data boundaries
- Delivered 34% operational throughput improvement
- Reduced reporting time from 2 days to 2 hours
- Helped avoid €150M in regulatory penalties
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Experience
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1 publication
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