Siddhi Rajesh More

Led user-centered research for GenAI-powered internationalization tools, designing agent-assist workflows that reduced unresolved vendor queries by 63% and significantly improved usability outcomes.

Initiated and piloted an LLM-powered AI Chatbot, designing prompts and analyzing data to streamline notification generation, enhancing efficiency and reducing Turnaround Time (TAT).

Communicated complex research findings through structured reports, annotated flows, and visual artifacts to inform product and design decisions, including wireframes and interactive prototypes.

Designed and prototyped AI-enhanced HMI interaction flows for advanced driving simulations, successfully reducing cognitive load and improving driver focus by 27%.

Conducted usability testing with over 30 participants, applying heuristic guidelines and user data to optimize in-vehicle interfaces for SAE & NHTSA safety standards.

Collaborated with engineers and UX researchers to deliver end-to-end interaction models and detailed specifications for production-ready automotive systems.

Led 0-to-1 design of an AI-enabled smart recycling app, integrating computer vision and IoT sensors, resulting in a 5.6x increase in user signups.

Translated complex data and model outputs into accessible UI flows using Figma, journey maps, and interaction prototypes, ensuring accessibility standards.

Executed mixed-methods research, including interviews, A/B testing, and behavioral analytics, to prioritize features and validate MVP success metrics.

Designed and implemented a WCAG 2.1 AA-compliant digital wayfinding platform using HTML/CSS within a CMS, ensuring accessibility and cross-browser responsiveness.

Built and maintained web pages and reusable templates, resolving UI defects in Agile sprints using Jira and improving task completion rates by 28%.

Conducted usability testing and analytics-driven iteration, contributing to scalable Figma design system components and achieving a projected 18% increase in conversion.