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Kiran Kumar
Mid-Level Full-Stack Software Engineer specializing in Java/Spring and React with GenAI automation
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About
Software engineer (4+ years) with hands-on production GenAI experience: built an AI incident triage assistant that summarizes production logs for on-call engineers and iterated it using real incident metrics (time-to-signal, triage duration). Also shipped a RAG-based customer support knowledge assistant using embeddings + vector retrieval with strong guardrails (relevance thresholds/abstain, sanitization, auditing) and a formal eval loop (500-query gold set) that drove measurable retrieval improvements.
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Key Strengths
- Shipped production LLM tools for incident triage with clear safety boundaries (decision support vs remediation)
- Strong tradeoff management across latency, cost, and quality (token limits, batching, filtering, prioritization)
- Data-driven iteration post-launch using operational metrics (time-to-signal, triage duration, adoption/usage)
- Built RAG-based support knowledge assistant with grounded answers and source citations
- Implemented robust LLM guardrails (relevance thresholds, abstain behavior, content filters, query sanitization, auditing)
- Designed and ran LLM evaluation loops (500-query gold set; measured hallucination/citation/relevance/latency; regression prevention)
- Improved retrieval quality via metadata filtering and query expansion (+15% relevance)
- Built scalable log ingestion pipelines with reliability and observability (retries, schema validation, DLQ, dashboards)
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