Mahima Pushkarna is a Staff Product Designer and design researcher with 11 years of experience building human-centered AI tools and data visualizations at Google’s People + AI Research Initiative and DeepMind. She leads design for responsible AI tooling—most notably co-creating Data & Model Cards and contributing front-end improvements to the widely used What-If Tool—to make model transparency and interpretability practical for engineers and researchers. Her practice blends participatory, speculative, and foundational design methods to connect upstream developer decisions with downstream user and societal impacts. She has taught graduate-level information design and visualization, bringing academic rigor to production systems and tools. Based in Cambridge, MA, she pairs deep visualization craft with pragmatic UX writing and content strategy to surface complex sociotechnical trade-offs. Notably, she restricts connections for security reasons, signaling a measured and trust-focused approach to professional networks.
11 years of coding experience
8 years of employment as a software developer
Non-degree student Design and Visual Communications General, Non-degree student Design and Visual Communications General at University of Michigan
Master of Fine Arts (MFA) Information Design and Visualization, Master of Fine Arts (MFA) Information Design and Visualization at Northeastern University
Undergraduate Visual Communication Design, Undergraduate Visual Communication Design at Srishti Manipal Institute of Art, Design and Technology
Contributions:25 commits, 1 PR, 24 pushes in 1 year 5 months
Contributions summary:Mahima primarily focused on front-end development, contributing to the user interface of the What-If Tool. Their work involved adding and updating links, fixing layout issues for mobile devices, implementing visual design changes to improve the UI and typography, and adding tooltips. The user also worked on content organization and UX writing to improve the user experience.
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Mahima Pushkarna - Staff Product Designer at Google DeepMind