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Jagadeeshwar Reddy Thiyyagura
Senior Software Engineer specializing in distributed systems and AI workflow orchestration
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Backend owner at Apple for an AI workflow orchestration service, with hands-on experience stabilizing peak-traffic production systems using OpenTelemetry-style tracing, bounded async concurrency, and database performance tuning. Built and shipped a Python LLM-agent orchestration layer to automate multi-step operational workflows, emphasizing guardrails, auditability, and deterministic fallbacks to keep non-deterministic AI behavior production-safe.
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Key Strengths
- Debugged and resolved peak-load latency spikes and intermittent production failures using distributed tracing/metrics correlation
- Improved reliability via bounded async concurrency, backoff-with-jitter retries, and DB tuning (indexes, connection pooling)
- Quantified impact: reduced recurring incidents by 38% and improved system reliability by 42%
- Designed production-grade LLM agent workflows with guardrails (validation, structured outputs, fallbacks, action limits) to manage non-determinism
- Strong end-to-end observability and auditability for AI workflows (traceable executions, audit logs, monitoring of accuracy/failure rates)
- Architected agent systems with clear planning/execution/verification separation and robust retry/escalation/stop logic
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