An AI Product Manager based in Shenzhen.
MSc Robotics student at CUHK, ex-ABB mechanical engineer, currently building AI Agent products at Bambu Lab. From industrial production lines to intelligent agent systems — I turn complex problems into reliable, shippable solutions.
From mechanics to robotics, from industry to AI — solving real-world problems at every step.
I'm Kevin Kou (寇宇), an MSc Robotics student at the Chinese University of Hong Kong (GPA 3.94/4.0, top 5%, Dean's List), with a BEng in Mechanical Engineering from Hefei University of Technology.
My career spans three fields: I spent 2.5 years at ABB Shanghai as a mechanical design engineer delivering cross-border BIW welding line projects, earning ABB Robotics China 2024 Top Performer. I then built a financial research multi-agent system during my internship at Sengital. Currently I'm an AI Product Manager at Bambu Lab, owning the after-sales ticket auto-reply Agent from design to production.
I believe great products come from deep problem understanding and relentless attention to detail. Whether it's a 24-node Agent workflow or a 100Hz robot control loop, I insist on data-driven decisions, test-verified quality, and result-oriented delivery.
From AI Agents to bipedal robots — each project shipped from concept to production or real-world testing.
Bambu Lab · AI Product Manager & Agent Builder
Sengital · Agent Development Intern
Personal · Full-Stack Developer
CUHK · Robotics Research
CUHK · Motion Control
Hefei Univ. of Tech · Bachelor Thesis
Three roles, three identities, one goal — solving real problems with technology.
Lessons and retrospectives accumulated along the way.
From intent routing to LLM-as-Judge — scaling AI to 90% auto-send across 3,352 real tickets
LangGraph orchestration, quality gates, and full-stack delivery — from raw data to auditable reports
Control loop rebuild, PD compensation, and what 30 real walks taught me about physical constraints
SPR guns 150→82, cycle 215s→137s — engineering methodology in cross-border industrial delivery
Why I pursued a robotics master's, how I learned to code, and how industrial thinking informs AI product design
From mechanical engineering to robotics and AI systems.
A cross-disciplinary toolkit, from bits to atoms.
A cross-disciplinary toolkit spanning AI, software, robotics, and mechanical engineering.