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Kevin Wang
Senior Software Engineer specializing in cloud infrastructure and distributed systems
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Amazon engineer focused on productionizing LLM-powered developer workflows, including code assistance, debugging automation, and internal AI tooling. Stands out for combining hands-on ML systems work with strong platform engineering, including an orchestration engine that reportedly saved about $10K/day and reduced a manual workflow from 12 hours to under a second.
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Key Strengths
- End-to-end ownership of production AI/ML systems
- LLM-powered developer tooling for code assistance and debugging
- Strong AWS and Python backend engineering
- RAG and fine-tuning for domain-specific LLM applications
- Balances latency, cost, quality, and safety in production AI systems
- Production monitoring and iterative model/system improvement
- Built scalable orchestration engines and internal APIs
- Automated testing and CI/CD for shared Python services
- Reduced operational costs by about $10,000 per day
- Cut manual operational workflow from 12 hours to under a second
- Improved developer productivity and accelerated feature delivery
- Improved reliability through retries, monitoring, and error handling
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