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Sarthak Choudhary
Mid-level Deployment Engineer specializing in AI integrations and data pipelines
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Built and owned enterprise data/integration deployments and production AI workflows, including a Python-based migration pipeline that moved 2M records with major improvements in onboarding speed, error rate, latency, and uptime. Also shipped a financial RAG assistant over 50K documents with sub-second p95 latency, showing a strong blend of customer-facing deployment ownership, data engineering, and LLM systems expertise.
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Key Strengths
- Owned enterprise deployments end-to-end
- Built Python integration pipeline for 2M-record migration
- Reduced onboarding time to under 5 days
- Cut deployment errors by 85%
- Improved latency by 70%
- Maintained 99.5% uptime
- Strong cross-functional stakeholder alignment
- Production RAG/LLM system design
- Scaled financial query system across 50K documents
- Achieved sub-second p95 latency in production
- Debugged schema-driven pipeline incidents effectively
- Reduced repeat pipeline failures by 80%
- Designed robust validation and error-handling workflows for messy inputs
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