PG
Funtional. Scalable. Sustainable. Valuable.
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With 8+ years of impactful UX and Product Design experience, I excel at transforming complex challenges into intuitive user-centered solutions that drive measurable business results. My background encompasses leading design strategy and execution for diverse B2B SaaS platforms within FinTech, Ed-Tech, and AI domains, consistently focusing on user needs and strategic alignment
With 8+ years of impactful UX and Product Design experience, I excel at transforming complex challenges into intuitive user-centered solutions that drive measurable business results. My background encompasses leading design strategy and execution for diverse B2B SaaS platforms within FinTech, Ed-Tech, and AI domains, consistently focusing on user needs and strategic alignmen
Hello! I'm Priyanka Gujja
Beyond usability and desirability lies the heart of design- connection. I'm driven by a passion to understand needs, ignite possibilities, and craft products that seamlessly integrate into lives, making them both practical and a joy to use
Pioneering the AI Classroom Assistant at Nelnet
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Strengthened Market Position & Innovation Profile
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Foundation for Future Product Development
Enhacing Internal Security & Operational Efficiency via User Permissions Overhaul (B2B)
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Reduced Operational Costs & Increased Efficiency
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Strengthened Security & Customer Trust
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Enabled Scalable Growth & Compliance
My Journey & Philosophy in AI Product Leadership Overview
My exploration into AI has revealed its transformative potential, not as a "magic box," but as a powerful tool driven by clear objectives, sophisticated algorithms, and quality data. As a product leader, I've learned the criticality of defining the right AI objective, understanding that nuances can drastically alter outcomes.
My focus is on leveraging AI to create tangible user value by understanding its core components— and strategically influencing AI behavior through well-chosen features and thoughtful constraints. I advocate for a data-driven approach, validating hypotheses rigorously, and optimizing for long-term, ethical outcomes, recognizing that while we don't control the AI experience directly, we can guide its learning and application with patience and strategic foresight.