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Kevin Thomas
Intern Software Engineer specializing in AI, cloud, and backend systems
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About
Candidate has internship and graduate-project experience building AI agents, including a production log-analysis assistant using a lightweight agentic/RAG-style workflow with local GPT training and validation against historical logs. They also worked on Android/iOS game build and release processes in a Unity-based robot racing game environment, and highlight measurable LLM outcomes including 80% analysis accuracy, 2-5 second latency, and 50% cost reduction.
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Key Strengths
- Shipped AI agent for log assistance in production
- Applied RAG-style architecture with locally trained GPT model
- Used historical log validation sets to reduce hallucinations
- Structured failure analysis by grouping failure types
- Improved LLM product outcomes to 80% analysis accuracy
- Reduced AI tool cost by half
- Maintained 2-5 second latency for LLM-powered log analysis
- Worked across mobile game build and release workflows for Android and iOS
- Adapted quickly to unfamiliar Unity/build automation environment
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