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Sangeeth Santhosh
Intern AI/ML Engineer specializing in GenAI pipelines and cloud automation
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Built and productionized a Python/LLM-based pipeline at Catalyst Solutions to automate healthcare RFP processing, turning unstructured documents into validated JSON/Excel with schema validation, confidence scoring, and human-review routing. Delivered major operational impact (hours-to-minutes processing, ~60% efficiency gain; 50+ RFPs processed) and modernized legacy scripts into a staged, more reliable architecture using incremental refactoring and fallback comparisons.
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Key Strengths
- Owned and shipped end-to-end GenAI document processing pipeline (ingestion → extraction → validation → outputs)
- Built robust guardrails for LLM outputs (fixed JSON schema, format/type checks, cross-field consistency rules)
- Production reliability practices: logging, validation-failure monitoring by field/document type, failure tracking
- Reduced healthcare RFP processing time from hours to minutes; ~60% operational efficiency gain
- Scaled throughput (50+ RFPs processed) enabling more RFPs without added headcount; improved revenue/customer satisfaction
- Incremental legacy modernization with component-by-component refactor and old-vs-new output comparisons/fallback
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