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Kush Shah
Junior Full-Stack Software Engineer specializing in web apps and automation
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About
Backend engineer with hands-on experience building an AI-powered document processing pipeline for insurance workflows from design through deployment and production support. They combine LLM-based extraction with rule-based validation, retries, and observability, showing a pragmatic approach to making AI systems reliable in high-stakes environments.
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Key Strengths
- owned AI document processing backend end-to-end
- integrated LLMs into production workflows with guardrails
- strong validation and reliability mindset in high-stakes systems
- practical tradeoff judgment across reliability, scalability, and latency
- iterative execution in ambiguous early-stage environments
- modular backend design for changing requirements
- deployment and DevOps experience with Docker, AWS, and CI/CD
- debugging and prevention of extraction edge cases through tests and observability
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Publications
1 publication
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