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George Platon
Principal Full-Stack Engineer specializing in AI, DevOps, and cloud platforms
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About
Built a production end-to-end AI video-to-reels clip extraction system using a multi-agent architecture with transcription, captioning, effects generation, and centralized orchestration. Demonstrates unusually strong systems thinking around reliability, observability, evaluation, and production tradeoffs for LLM-powered workflows, including Kubernetes/Kafka-based deployment and regression-driven prompt governance.
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Key Strengths
- shipped production AI video clipping pipeline end-to-end
- deep expertise in multi-agent orchestration
- strong reliability engineering for LLM systems
- practical observability and monitoring for agent workflows
- thoughtful handling of agent failure modes and state management
- clear framework for latency/cost/reliability/safety tradeoffs
- mature evaluation approach for non-deterministic AI systems
- used regression data to detect and reverse silent quality degradation
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Experience
Education
Awards
Skills
Languages
Publications
3 publications
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