CARLA • Edge AI • Manufacturing IT

Welcome to My Portfolio

Hi! I'm Haotian (Nitro) Zhang — a systems-minded engineer who enjoys turning messy, real-world problems into reliable, well-structured solutions. I care deeply about how software behaves not just in theory, but in production.

My work spans intelligent systems that connect simulation, perception, and real operations. My capstone project explores AI-driven traffic hazard detection using RGB–LiDAR fusion in CARLA, while my Lean Improvement Library focuses on transforming manufacturing improvement cases into a searchable, governed knowledge platform used at scale.

Focus Areas

  • CARLA-based AI hazard detection and multimodal sensor fusion
  • Edge AI optimization for real-time inference
  • Enterprise web systems for Lean improvement analytics

Featured Work

Traffic Detection System

Developed a multimodal Vision-Language Model pipeline using synthetic RGB and LiDAR data in CARLA to detect hazardous road interactions. Optimized for embedded Edge AI deployment and real-time inference.

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Lean Library Platform

Built an enterprise-scale platform to digitize and govern continuous-improvement cases across manufacturing, with fast search, analytics, and role-based access for ~900 internal users.

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About Me

I enjoy combining AI-driven perception with real-time embedded systems. Beyond engineering, I'm a lifelong learner and gamer, often diving into strategy and precision games like CS2 to sharpen focus and teamwork.

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