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Chandini Sattineni
Mid-level Software Engineer specializing in full-stack web, Go microservices, and AI integrations
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About
Backend/LLM engineer who ships production internal tooling end-to-end: automated data-request processing with monitoring-driven improvements (better error diagnostics and lower latency via query/index tuning). Also built a RAG-based internal Q&A system over company docs and operational logs with guardrails (similarity thresholds, fallbacks, response limits) and an eval loop using real user queries and human review to drive prompt/retrieval changes.
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Key Strengths
- Owned feature end-to-end (API design through deployment and monitoring)
- Iterates based on user feedback and operational metrics (tickets/Slack + logs/latency)
- Improved developer/user experience via clearer validation errors and structured error codes
- Performance tuning: reduced latency by optimizing queries (indexes, joins, response shaping)
- Shipped production RAG system using embeddings + vector retrieval over internal docs/logs
- Implemented LLM guardrails (similarity thresholds, fallbacks, response length limits) to prevent hallucinations
- Built LLM evaluation loop with real-user test sets, human review, and metric-driven iteration
- Built reliable, observable data pipelines with normalization, retries, and dead-letter handling
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