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Pavan Kishore Ramavath
Intern Software Engineer specializing in machine learning and backend systems
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Built an AI-powered medical coding system at Clinpex that mapped 88,000+ clinical terms to standardized codes, achieving about 86% accuracy and cutting manual review time by over 80%. Brings hands-on backend ownership in a healthcare AI setting, with experience using semantic retrieval, LLM validation, and human review to handle ambiguity and reliability in a regulated domain.
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Key Strengths
- Built an AI-powered medical coding backend end-to-end at Clinpex
- Mapped 88,000+ clinical terms to standardized codes
- Improved coding efficiency by reducing manual review time by 80%+
- Achieved about 86% classification accuracy
- Strong handling of ambiguity in clinical terminology using retrieval plus LLM validation
- Performance optimization through batching and caching
- Post-deployment monitoring and failure-case analysis
- Experience balancing accuracy, latency, and cost tradeoffs in AI backend systems
- Applied engineering rigor in a regulated healthcare context with edge-case testing and human review
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