Vrinda Designs

Engineered an AI-driven UXR automation pipeline using Custom GPTs, reducing qualitative evaluation cycles from 120 minutes to under 5 seconds per participant. Conceptualized and prototyped an agentic AI task-assistance app and architected end-to-end user workflows for data-sensitive SaaS platforms.

Owned end-to-end UX/UI design for enterprise SaaS products, including role-based smart parking dashboards, Android POS systems, and digital display infrastructure. Redesigned critical user journeys, decreasing customer support query volume by 60% and optimizing task completion rates.

Designed MVPs, proof-of-concepts, and production-ready experiences for 20+ international clients across technology, hospitality, and social platforms. Led UX discovery, information architecture, wireframing, prototyping, and usability evaluation to align business goals with user needs.

Engineered a non-contact ML system predicting Emotional Intelligence with 84% accuracy, managing end-to-end experimental research and UX protocols. Designed multi-stage research environments and longitudinal testing frameworks, maintaining high participant retention while ensuring strict data integrity.

Designed immersive VR environments, game mechanics, and UI/UX specifications, collaborating closely with developers to translate research requirements into interactive experiences. Conducted psychometric assessments and statistical analysis using PEBL, Inquisit5, and SPSS to evaluate cognitive performance.

Pursued a PhD in Emotional Intelligence, engineering a non-contact ML system predicting Emotional Intelligence with 84% accuracy and managing end-to-end experimental research and UX protocols.

Completed an Integrated B.Tech M.Tech in Cognitive & Neuroscience, focusing on cognitive science and neuroscience.