
Over a three-month period, contributed to the valhalla/valhalla repository by delivering targeted improvements in routing accuracy, benchmarking reliability, and API correctness. Developed a grade clamping feature for bridges and tunnels, ensuring route safety by capping weighted grades within defined limits using C++ and algorithm design. Addressed edge cases in the TimeDistanceMatrix API, refining partial request handling so only settled destinations are considered, which improved downstream routing workflows. Enhanced benchmarking tooling by correcting geospatial data construction and stabilizing benchmark runs. Demonstrated strong backend development and software engineering skills, with a focus on reliability, code quality, and precise Git-based collaboration.
February 2026 monthly highlights for the valhalla/valhalla repo focused on enhancing routing safety and accuracy with a targeted feature delivery. The main deliverable was a grade clamping mechanism for bridges and tunnels to ensure weighted route grades stay within defined safety limits, reducing the risk of unsafe routing decisions on critical segments.
February 2026 monthly highlights for the valhalla/valhalla repo focused on enhancing routing safety and accuracy with a targeted feature delivery. The main deliverable was a grade clamping mechanism for bridges and tunnels to ensure weighted route grades stay within defined safety limits, reducing the risk of unsafe routing decisions on critical segments.
In September 2025, valhalla/valhalla delivered a critical correctness fix for TimeDistanceMatrix in partial requests. The patch ensures that only settled destinations are considered when computing partial matrices, with unsettled destinations assigned a distance of 0. This removes erroneous distance values in scenarios where some destinations are unreachable or unsettled, improving accuracy for partial-route planning. The change is captured in commit 24734b0d2248c6e5ee016daf6cdd6e89c1c8c050 (“Only return settled destinations for partial TimeDistanceMatrix requests (#5505)”) and is ready for integration. This work enhances reliability, reduces downstream confusion for routing workflows, and demonstrates strong code-quality skills in edge-case handling and git discipline.
In September 2025, valhalla/valhalla delivered a critical correctness fix for TimeDistanceMatrix in partial requests. The patch ensures that only settled destinations are considered when computing partial matrices, with unsettled destinations assigned a distance of 0. This removes erroneous distance values in scenarios where some destinations are unreachable or unsettled, improving accuracy for partial-route planning. The change is captured in commit 24734b0d2248c6e5ee016daf6cdd6e89c1c8c050 (“Only return settled destinations for partial TimeDistanceMatrix requests (#5505)”) and is ready for integration. This work enhances reliability, reduces downstream confusion for routing workflows, and demonstrates strong code-quality skills in edge-case handling and git discipline.
November 2024: Focused on reliability and correctness of benchmarking tooling in valhalla/valhalla. Delivered a critical bug fix in valhalla_benchmark_loki: corrected latitude/longitude order for PointLL construction and set a default reach option to ensure benchmarks run reliably. This change, committed as c4681ef12d2ce62f63a07dfd230fd6adad3ff38c (#4981), was integrated into valhalla/valhalla. Impact: more accurate benchmark results, fewer flaky runs, enabling better performance assessments and planning. Technologies/skills demonstrated: geospatial data handling, C++ debugging, benchmarking tooling, and Git-based collaboration.
November 2024: Focused on reliability and correctness of benchmarking tooling in valhalla/valhalla. Delivered a critical bug fix in valhalla_benchmark_loki: corrected latitude/longitude order for PointLL construction and set a default reach option to ensure benchmarks run reliably. This change, committed as c4681ef12d2ce62f63a07dfd230fd6adad3ff38c (#4981), was integrated into valhalla/valhalla. Impact: more accurate benchmark results, fewer flaky runs, enabling better performance assessments and planning. Technologies/skills demonstrated: geospatial data handling, C++ debugging, benchmarking tooling, and Git-based collaboration.

Overview of all repositories you've contributed to across your timeline