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Shoukath Ali
Mid-level Backend Software Developer specializing in cloud-native microservices
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LLM-focused engineer who has shipped multiple production-grade AI reliability systems: an LLM output validation/monitoring service (FastAPI) with prompt versioning and failure analytics, plus a RAG feature using embeddings/vector DBs with retrieval thresholds, schema/context validation, and safe fallbacks. Strong in evaluation loops (groundedness, schema accuracy, human review) and scalable pipelines for messy document ingestion with observability and early detection of data quality issues.
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Key Strengths
- Shipped production LLM validation/monitoring service integrated into workflows
- Designed layered validation (rule-based + semantic) to balance strictness and flexibility
- Built production RAG pipeline (ingest/chunk/embed/store/retrieve) with guardrails to reduce hallucinations
- Implemented robust guardrails: retrieval thresholds, schema/required-field checks, context consistency, safe fallbacks
- Established LLM evaluation loop with groundedness and schema metrics plus structured human review
- Used eval results to drive prompt/validation changes and prevent regressions
- Built scalable messy-document ingestion pipeline with normalization, schema checks, retries, logging, and monitoring
- Proactively detected and fixed downstream-breaking data issues via observability and validation
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