Principle 01
See the constraint first
I look at performance, schedule, operating context, and maintenance cost before choosing the technical shape of the solution.
Profile
Hands-on systems engineer for delivery-critical work
I build real-time systems that have to work in front of real operators. The scope expanded from games and learning content into XR simulators, BIM tooling, robotics control, and AI workflow systems, but the core has stayed the same: structure, verification, and reliable delivery.
My role is closest to a hands-on senior IC who can also shape system direction when the team needs it.
Unity x XR
Senior Unity/XR Systems Engineer
Industrial Systems
Industrial Real-Time Systems Engineer
AI Simulation
AI-Integrated Simulation Engineer
Experience
10Y
Ten years building Unity systems across education, XR, industrial simulation, and real-time tooling.
Core Range
XR + Tooling
Strongest where interaction, runtime structure, and operator workflow meet.
Expansion
BIM / Robotics / AI
Comfortable moving from large geometry systems to robotics control and AI workflow design.
Principle 02
Reduce repeated cost
If the team keeps solving the same problem manually, I try to turn that into tooling, rules, or a more stable operating flow.
Principle 03
Use AI as an operating system component
I treat AI as something that must be validated, bounded, and connected to responsibility, not just attached as a demo feature.
Experience Flow
How the work expanded
I did not move into new fields by collecting disconnected tools. Each step was a structural extension of the previous one: interaction logic led to XR, XR led to simulator delivery, simulator delivery led to BIM and tooling, and that context eventually led to AI workflow design.
That is why my portfolio reads better by problem type than by tool list. The same mindset carries through runtime interaction, heavy geometry handling, robotics control, and operating-rule design.
Stage 01
Learning Content
Started with user flow, repeated feedback loops, and structured content delivery.
Stage 02
XR Simulators
Moved into interactive XR experiences where real operator constraints mattered.
Stage 03
BIM and Tooling
Expanded into large data visualization, editor tooling, and operator-facing runtime systems.
Stage 04
Robotics and AI
Pushed further into control systems and repeatable AI operating structures.
Field Delivery
On-site delivery and fabrication
For safety-training and simulator projects, writing the software was never the whole job. I repeatedly handled installation, live operation, teardown, site coordination, infrastructure setup, and delivery preparation.
That experience changed how I build. When I design a system, I think about how it will be installed, explained, debugged, and maintained in a noisy real environment.
01
Exhibition Operations
Handled four rounds of simulator installation, operation, and teardown.
02
Site Literacy
Visited factories and construction sites to align the simulator with real safety-training context.
03
Hardware Ownership
Proposed a dual-axis scaffold device that unblocked development and later supported multi-site delivery.
04
Fabrication & Setup
Handled network setup, drill and impact work, tapping metal plates, and repeated assembly tasks for delivery.
Next
See the systems in context
Project pages show the runtime systems, tools, and delivery results behind these principles.