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Lakshmi sailaja
Mid-Level Software Engineer specializing in backend microservices and AI/ML integration
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About
Built and shipped production LLM-driven pipelines for clinical data processing, turning semi-structured inputs into validated structured outputs for downstream analytics. Emphasizes predictability and safety via strict JSON schemas, state-machine orchestration, backend-controlled tool calling, and robust fallbacks (rule-based checks/manual review) plus monitoring and offline/online evaluation loops; also has experience hardening workflows against messy ERP/finance data with idempotency and state tracking.
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Key Strengths
- Shipped production LLM workflow for clinical data classification/enrichment with reliability safeguards
- Designs resilient pipelines with validation layers, retries/timeouts, and rule-based/manual-review fallbacks
- Uses strict structured outputs (JSON schemas) to improve predictability and reduce failures
- Architects multi-step agent workflows with backend-controlled tool/function execution (intent-based calling)
- Implements state-machine orchestration with record-level state tracking (ingested/processed/validated/completed)
- Builds evaluation and monitoring loops (offline benchmarks on production samples; online success/latency/validation metrics; logging and error analysis)
- Handles messy ERP/finance data using normalization/validation, idempotency via unique identifiers, and safe fallbacks to prevent bad actions
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