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Wilson Arockiasamy
Principal Software Engineer specializing in real-time streaming and cloud-native data platforms
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About
Built and shipped a production LLM feature that converts natural-language search requests into Lucene queries for OpenSearch-backed device event data, improving usability for non-technical users. Brings hands-on experience across the full stack of agentic systems: model training, FastAPI/React integration, Kubernetes deployment on AWS, event-driven orchestration with NATS/Kafka, and production-grade evaluation/observability.
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Key Strengths
- Shipped a production natural-language-to-Lucene search feature end-to-end
- Designed LLM architecture spanning UI, API, validation, and OpenSearch backend
- Strong reliability focus with schema/regex guardrails and alerting
- Built observability with correlation IDs, structured events, and persisted audit trails
- Experience with agent-style orchestration and validation loops
- Deep event-driven backend architecture experience across edge and cloud
- Designed for failure modes including hallucination, latency spikes, and prompt injection
- Established offline regression gates and online quality metrics for non-deterministic systems
- Used production trace data to improve prompt behavior and reduce retry rates
- Balanced latency and cost by pushing hot-path decisions to the edge and complex inference to the cloud
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