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HARI ANDE
Junior Software Engineer specializing in backend microservices and GenAI automation
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Built and productionized an LLM/RAG-based credit case triage system that indexes credit bureau narratives and delivers structured, source-linked summaries for analysts. Emphasizes production reliability (data masking, human-in-the-loop review, abstention/fallbacks, monitoring) and reports >99% uptime plus ~30% efficiency gains, with iterative improvements driven by offline/online evaluation and schema-aware validation.
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Key Strengths
- Shipped LLM-powered credit case triage agent to production with >99% uptime
- Drove ~30% processing efficiency improvement for credit analysts
- Designed RAG architecture to keep outputs grounded in latest credit data
- Built reliability controls: data masking, human review gates, abstain/flag-to-manual-review behavior
- Implemented multi-step agent workflow (preprocess → retrieval → reasoning → validation → response) with LangChain state management
- Established eval/monitoring stack: labeled offline evals, daily batch regression tracking, online metrics and anomaly alerting
- Improved reliability by addressing schema/data-format issues via dynamic type correction and stronger schema checks
- Handled messy operational data with Python standardization pipelines, validation at ingestion, and safe fallbacks/idempotency
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