Jac 张

I’m an AI & Robotics Engineer with over three years designing and shipping production-grade agentic pipelines and closed-loop AI-to-physical execution systems at national research institutes and industrial AI centers. I focus on bridging frontier AI research and real-world deployment—from autonomous laboratory ecosystems to AR-based Digital Twin human-robot interfaces.

I have a “rapid-iteration vibe-coder” mindset: moving from whiteboard to observable, production-stable systems in days while owning the full stack, including LLM integration, hardware-software handshaking, distributed observability, and cross-timezone async delivery. My work has been published in IEEE (JCR Q1, IF > 5.0) and I also hold a Hong Kong invention patent.

As Program Lead Engineer — Robotics & AI, I led a multi-agent autonomous laboratory platform that unified orchestration of AGVs and six-axis robotic arms across vendors using a task allocation engine, real-time status reporting, and anomaly self-recovery. I delivered an LLM-to-Physical closed loop with real-time mapping from LLM outputs to the laboratory database and robotic motion layer, cutting a single experiment’s R&D cycle by ~40% with zero human intervention.

I also built a MongoDB-based telemetry hub for live dashboards and remote debugging across distributed sites, and authored production-grade PRDs and SOPs to enable seamless async handovers between Hong Kong and Guangdong teams. At the Hong Kong Industrial AI & Robotics Centre (FLAIR), I developed an AR Digital Twin framework (ROS, Unity, C#, ROS integration) and optimized perception and planning for ABB YuMi and UR-series robots, while creating and filing IP for a novel robotic gripper mechanism.