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Swastik Chowdhury
Mid-level Data Engineer specializing in cloud data platforms and real-time streaming
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About
Worked on onboarding a Middle East logistics client processing thousands of invoices/month, building a production-ready pipeline that routes known vendor PDFs to deterministic regex parsers via Tax ID matching and falls back to LlamaParse for unknown layouts. Added financial consistency validation plus human-in-the-loop review and logging/metrics to continuously reduce LLM usage and improve template coverage.
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Key Strengths
- Designed scalable hybrid deterministic + LLM document processing pipeline (regex routing + LlamaParse fallback)
- Cost-aware architecture (zero LLM cost for known vendor invoices via deterministic routing)
- Built deterministic validation and exception handling with human-in-the-loop review
- Strong focus on observability, guardrails, and logging for LLM workflows
- Cross-functional requirements gathering with customer accounts team to understand invoice/vendor variability
- Presentation approach centered on concise, story-driven technical demos/workshops
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