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Raj Kumar Satya
Junior Software Engineer specializing in backend systems, FinTech, and applied AI
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About
Built and stabilized an AI-assisted document processing workflow for Possible Finance that supported underwriting without automating final loan decisions. Stands out for combining practical LLM integration skills with strong guardrails, validation, and fallback design in a financial workflow, delivering roughly a 35% reduction in document processing time.
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Key Strengths
- End-to-end ownership of AI-assisted customer deployments
- Production LLM guardrails and validation design
- Reliable handling of messy real-world document inputs
- Safe fallback and manual review workflows for regulated environments
- Cross-functional stakeholder management across engineering, product, and underwriting
- Debugging non-deterministic LLM output in production
- Backend integration of AI outputs into existing workflows
- Reduced document processing time by about 35%
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1 publication
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