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Nency Patel
Intern Backend Software Engineer specializing in AI and distributed systems
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About
Built and owned an enterprise AI document-processing deployment at an automotive tech startup, taking it from discovery to stabilization. Strong in production LLM/RAG systems and backend reliability, with measurable impact including 8,000+ documents processed monthly and turnaround time reduced from nearly 24 hours to about 3 hours.
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Key Strengths
- Owned end-to-end enterprise customer deployment from discovery through post-launch stabilization
- Built scalable AI document-processing backend with FastAPI, AWS SQS, PostgreSQL, and LangChain
- Productionized RAG/LLM workflow handling 8,000+ documents per month
- Reduced document turnaround time from ~24 hours to ~3 hours
- Lowered manual review effort and infrastructure costs
- Strong cross-functional stakeholder alignment across engineering, product, customer ops, and client validation teams
- Translated technical blockers into business impact to drive prioritization
- Debugged non-deterministic LLM behavior by isolating retrieval-layer variability
- Improved production reliability with deterministic retrieval tuning, caching, retries, and monitoring
- Designed robust preprocessing for messy real-world documents using OCR fallback, validation, normalization, and exception routing
Reference Highlights
- strong ownership
- strong technical execution
- effective cross-functional coordination
- keeps stakeholders aligned
- drives measurable improvements in turnaround time
- improves system reliability
- improves operational efficiency
- creates clear customer impact
- calm under deployment challenges
- structured problem-solving
- clear communication of next steps
- minimizes customer-facing delays
- thoughtful about reliability
- reduces manual operational review
- methodical debugging
- quickly isolates failure points
- prioritizes customer impact first
- drives stable fixes over temporary patches
- clean and structured Python API work
- thoughtful about validation and failure scenarios
- strong execution quality
- understands production dependencies
Nency's references speak for themselves. Let us connect you.
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