Manages LLM infrastructure and deployment pipelines with a focus on stability and performance. Ensures AI systems run efficiently from development to production.
Contributes to LLM training with a focus on agent workflows and function calls. Helps bridge real-world application logic with AI behavior through structured agent function calling.
Develops interactive LLM-powered experiences using JavaScript and TypeScript. Blends AI logic with engaging visual and frontend experimentation.
Works on enhancing LLM behavior through structured agent function calls. Focused on making AI systems more reliable and context-aware across product and engineering teams.
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