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Kevin Allen
Senior AI/ML Engineer specializing in conversational and generative AI
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About
Built and productionized an LLM-based support assistant end-to-end, including RAG, APIs, monitoring, guardrails, and agent feedback loops. Stands out for translating GenAI prototypes into reliable production systems with structured evaluation, safety controls, and reusable Python infrastructure that improved both support quality and engineering velocity.
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Key Strengths
- Owned an LLM support assistant end-to-end from prototype to production
- Strong RAG system design for grounded support responses
- Practical evaluation framework using offline test sets and human review
- Production monitoring with latency, error, fallback, and quality signals
- Safety-minded deployment with guardrails, confidence thresholds, and human handoff
- Post-launch iteration driven by production feedback
- Built reusable Python services and shared inference/retrieval infrastructure
- Improved team velocity through standardized model access, retries, logging, and latency monitoring
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