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Paritosh Kadam
Junior Software Engineer specializing in AI/LLM backend systems
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About
Built production AI systems in high-stakes domains, including a medical RAG chatbot focused on reducing hallucinations and a document-processing workflow that automated manual PDF extraction. Demonstrates strong end-to-end ownership across backend services, APIs, LLM integration, and iterative reliability improvements based on real usage and failure analysis.
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Key Strengths
- production AI agent delivery in high-accuracy healthcare use cases
- strong RAG system design and retrieval optimization
- iterative improvement using logs and failure-case analysis
- end-to-end ownership across frontend, backend, and APIs
- performance optimization for latency and concurrent request handling
- LLM quality improvement through prompt and retrieval tuning
- zero-to-one execution under ambiguous requirements
- workflow automation for document processing with modular architecture
- pragmatic tradeoff-making to ship quickly and iterate with real users
- cross-functional collaboration with product stakeholders
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