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Yash Rangucha
Mid-level Software Engineer specializing in backend microservices and real-time streaming
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About
Built and owned an end-to-end LLM-powered enterprise retrieval pipeline at ServiceNow, spanning ingestion of structured/semi-structured sources through vector retrieval and real-time API serving. Focused heavily on reliability and quality (multi-stage validation, monitoring, evaluation pipelines) while also driving performance improvements (~35% faster responses) via caching, async processing, and SQL/query optimization.
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Key Strengths
- Owned end-to-end production LLM retrieval pipeline (ingestion → validation → transformations → serving)
- Improved response time by ~35% through caching, async processing, and DB access optimizations
- Built robust data quality and validation layers (schema checks, duplicate/null filtering, metadata completeness)
- Designed monitoring across pipeline health, data quality, and system performance with actionable metrics/logs
- Improved retrieval relevance for ambiguous/long-tail queries via chunking, metadata tagging, ranking, and continuous evaluation
- Implemented reliability patterns for ingestion (idempotency, retries, dead-letter handling) to prevent downstream impact
- Shipped versioned backend APIs with backward compatibility, testing, and clear contracts/documentation
- Able to stand up systems in ambiguous early-stage environments with pragmatic scoping, CI/CD, and observability
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