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Priyanshi Sharma
Mid-level Software Engineer specializing in FinTech full-stack and backend systems
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About
Built and productionized a GenAI prompt-engineering solution to retrieve prevailing wages based on job/location selections, emphasizing accuracy through stricter prompt templates and validation. Hands-on in real-time production debugging using Splunk (callback tracing, verbose logging, header inspection) and experienced running developer-facing demos/workshops that helped drive marketplace API adoption.
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Key Strengths
- Takes GenAI/LLM concepts from prototype to production with focus on reliability, scalability, and safety
- Improves LLM output accuracy/consistency via stricter prompt templates and validation layers
- Real-time production incident troubleshooting using Splunk tracing and verbose logging
- Root-cause analysis across workflow logic and parameter/edge-case handling (e.g., null parameter causing approval autosubmission failure)
- Adapts technical demos based on audience questions; explains system interactions clearly
- Partners with customers/implementation teams to unblock issues and drive API adoption
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