Employable by Sharp at more than half time at award, or willing to commit to that contingently. Without this, nothing else matters.
A strong AI and machine learning background. The output is an AI product and there is a required AI section, so the PI needs to speak credibly to model choices, data, and explainability.
A track record leading or delivering R&D or software projects, ideally federally funded, and the ability to run a fixed-price, milestone-driven effort.
Clear technical writing and presentation skills, since evaluators read and score the narrative.
Strong plus:
Transit, mobility, or transportation domain experience, or a clear ability to come up to speed fast.
Accessibility expertise: Section 508, WCAG, Universal Design, assistive technology, or real experience with disability access. This is your FT1 differentiator, and a credibility signal most competitors will not have.
System architecture and integration experience, since the core problem is pulling fragmented transit data, routing, and payment into one experience.
Commercialization or product experience to strengthen the Commercial Potential score.
An advanced degree in AI, computer science, human-computer interaction, or transportation. Reviewers tend to weigh this, though demonstrated experience can stand in for it.
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