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Patrick Jose
Senior AI Engineer specializing in LLM applications and full-stack systems
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About
Built and owned a production LLM/RAG customer support assistant end-to-end, from prototype through deployment, monitoring, and iteration. Their work automated roughly 40% of common support queries and cut response times by about 30%, while also creating reusable Python inference services that improved consistency and team velocity.
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Key Strengths
- Owned an LLM support assistant end-to-end from prototype to production
- Production RAG system design for dynamic knowledge bases
- Strong ML/LLM monitoring using feedback, escalation, and latency metrics
- Iterative improvement based on production behavior and agent corrections
- Balanced latency, cost, quality, and safety tradeoffs in deployment
- Improved retrieval quality through chunking and search optimization
- Built reusable Python inference services for multiple teams
- Drove 40% automation of common support queries
- Reduced support response time by about 30%
- Improved customer satisfaction through faster, more consistent support responses
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