
Worked on the ETS2LA/Euro-Truck-Simulator-2-Lane-Assist repository, delivering targeted improvements to the lane assist feature set. Focused on optimizing Python backend code for path planning and the data pipeline, the work involved algorithm design and performance tuning to reduce CPU cycles and improve runtime efficiency without altering system behavior. Enhancements included hoisting vector normalization outside critical loops, caching computed values, and removing redundant calculations. Additional efforts addressed code maintainability by cleaning up confusing assignments and improving threading in external data updates. These changes resulted in smoother lane assist operation, faster data updates, and more predictable performance under load.
In Apr 2026, delivered targeted performance, stability, and maintainability improvements for the ETS2LA Lane Assist feature set. Focused on optimizing hot paths in path planning and the data pipeline, reducing CPU cycles and avoiding any behavioral changes. Also performed code cleanups to improve reliability and reduce future maintenance burden. The combined effect is smoother lane-assist operation under load, faster data updates, and more predictable frame times.
In Apr 2026, delivered targeted performance, stability, and maintainability improvements for the ETS2LA Lane Assist feature set. Focused on optimizing hot paths in path planning and the data pipeline, reducing CPU cycles and avoiding any behavioral changes. Also performed code cleanups to improve reliability and reduce future maintenance burden. The combined effect is smoother lane-assist operation under load, faster data updates, and more predictable frame times.

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