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Ajay Chekuri
Mid-level Full-Stack Java Developer specializing in React and FinTech/Healthcare systems
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About
Backend engineer who built a real-time, event-driven alerting platform (Java/Spring Boot, Kafka, MongoDB) processing millions of events per day on AWS (Docker/Kubernetes), including hands-on performance debugging of Kafka consumer lag at peak. Also shipped an end-to-end LLM-based alert summarization feature and designed a multi-step incident triage agent workflow with retries and human-in-the-loop escalation.
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Key Strengths
- Built and operated high-scale event-driven alerting service (millions of events/day) on AWS with Docker/Kubernetes
- Debugged and resolved Kafka consumer lag under peak traffic via profiling, batching MongoDB writes, caching, partition scaling, and consumer tuning
- End-to-end ownership of an LLM-powered alert summarization feature (data prep, backend APIs, delivery, guardrails/monitoring)
- Designed incident triage agent workflow using plan-execute-verify with rule-based retries and human escalation
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