Engineering decisions for a mobility-routing platform

The challenge

Transportation software has to make tradeoffs visible. A route can be shorter but cover fewer people; reduce miles but increase operational complexity; or save cost while changing emissions and service quality.

The engineering approach

1. 01

   Model the decision as more than a shortest-path problem by exposing the measures that matter to operators.

2. 02

   Keep calculation and workflow logic behind clear Python interfaces so product behavior remains testable.

3. 03

   Design comparison surfaces that help users understand why two plausible routes differ.

4. 04

   Treat data quality and edge cases as product concerns because route recommendations inherit their inputs.

My contribution

• Contributed to SHARE Mobility routing and commuter-analysis product work.
• Worked on flows that let users compare route options using measures such as people covered, distance, estimated savings, and carbon emissions.
• Supported end-to-end product delivery across backend logic and the user-facing application.