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Arnav Panigrahi
Mid-level Software Developer specializing in full-stack systems and AI applications
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Full-stack product engineer at AllCheer who has shipped production AI workflow systems in a compliance-sensitive healthcare operations context. They built React/FastAPI products with LangChain and OpenAI to automate release-of-information and note-extraction workflows, delivering measurable impact including ~60% faster processing, ~$20K annual savings, and ~92% extraction accuracy.
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Key Strengths
- Owned zero-to-one ROI automation product in production
- Full-stack delivery across React/TypeScript and FastAPI backend
- Built production LangChain AI agent with human-in-the-loop safeguards
- Strong compliance-aware workflow design
- Reduced processing time by about 60%
- Saved approximately $20,000 annually
- Designed maintainable step-based backend orchestration
- Improved reliability through deterministic validation and edge-case testing
- Iterated post-launch using logs, manual-review cases, and staff feedback
- Turned AI extraction into intuitive UX for non-technical staff
- Achieved about 92% extraction accuracy for note extraction workflow
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