Automated verification · synthetic test dataLetter World
Letter World V2.0 brings recognition speed, selectable rounds, and review priorities into a learning loop shaped by student feedback.
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These projects differ in scale, but share a method: define the real question, build something testable, and keep the limits of the evidence visible.
Featured work
Automated verification · synthetic test dataLetter World V2.0 brings recognition speed, selectable rounds, and review priorities into a learning loop shaped by student feedback.
View project
An independent computational study of how numerical reliability and approximation error change across a controlled parameter grid.
View projectA rider-led concept that uses existing bottle-cage bosses to move the shifter off the handlebar while retaining the gears.
View projectAn in-progress effort to design low-cost, engaging physics experiments for schools with limited laboratory access.
View projectAdditional work
Built and revised a competition robot for ball collection based on task requirements and driver feedback. Team 1019B received First Prize and a Design Award in VEX AI at the 2025 Asia-Pacific event.
Trotterization, an exact two-state evolution benchmark, RMSE, and circuit-depth tradeoffs. This course project concerns digital-simulation error inside an effective model; it is separate from the independent double-well study.