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Shubham Singh
Mid-level Software Engineer specializing in LLM systems and intelligent search
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Backend engineer from Palantir who built and productionized an enterprise LLM-based document intelligence/search platform, evolving it into a hybrid lexical+vector retrieval system. Emphasizes reliability and cost control via strict LLM gating, robust fallback paths, and evaluation frameworks (e.g., MMLU/BLEU), plus disciplined migration practices (feature flags, dual-writes, shadow reads) to ship changes safely at scale.
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Key Strengths
- Designed and evolved enterprise LLM-driven document search into hybrid lexical+vector retrieval
- Production-minded LLM integration with strict gating, validation, and fallback paths
- Built end-to-end document ingestion and embedding pipelines; optimized chunking for retrieval quality
- Risk-managed backend refactors using feature flags, canary rollout, dual-writes, and shadow reads
- Deep focus on enterprise reliability via observability, latency controls, and resilience patterns
- Identified subtle retrieval-quality failure modes that caused LLM hallucinations; added confidence signals and safeguards
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