Zhilin Xu said: Here’s the same intro with no em dashes, written in a natural, client-ready voice: My name is Zhilin Xu, and I’m a machine learning engineer who focuses on building AI systems that actually run in production. Over the last several years I’ve designed and shipped large-scale ML and LLM solutions for enterprise products. That includes real-time diagnostic intelligence at AppDynamics, multi-agent conversational systems for education, and high-performance model deployment using Python, PyTorch, FastAPI, and cloud tools. Before that, I worked at Black Sesame on automotive AI toolchains, where I built graph optimization and quantization modules and deployed perception models onto embedded hardware for OEMs. I’ve spent a lot of time owning full pipelines from data processing and model training to serving, monitoring, and frontend integration. What makes me stand out is that I treat AI as an engineering problem, not a research exercise. I focus on reliability, low latency, and clean design, and I’m used to taking complex workflows and turning them into something fast, stable, and easy for users to depend on. I enjoy solving real problems with technology, and I’m comfortable taking responsibility for systems end to end.…Zhilin Xu said: Here’s the same intro with no em dashes, written in a natural, client-ready voice: My name is Zhilin Xu, and I’m a machine learning engineer who focuses on building AI systems that actually run in production. Over the last several years I’ve designed and shipped large-scale ML and LLM solutions for enterprise products. That includes real-time diagnostic intelligence at AppDynamics, multi-agent conversational systems for education, and high-performance model deployment using Python, PyTorch, FastAPI, and cloud tools. Before that, I worked at Black Sesame on automotive AI toolchains, where I built graph optimization and quantization modules and deployed perception models onto embedded hardware for OEMs. I’ve spent a lot of time owning full pipelines from data processing and model training to serving, monitoring, and frontend integration. What makes me stand out is that I treat AI as an engineering problem, not a research exercise. I focus on reliability, low latency, and clean design, and I’m used to taking complex workflows and turning them into something fast, stable, and easy for users to depend on. I enjoy solving real problems with technology, and I’m comfortable taking responsibility for systems end to end.WWWW…