Machine-learning driven personalized experience for playlists

Search and Browse experience across multiple platforms(iOS, Android, Desktop, FireTV, Alexa devices)

Define early stage of Multi-modal design across multiple work-streams (Alexa on Music App, voice driven app download across Amazon Entertainment and Alexa Music, Voice browsing for Car-mode). Scaling our business across different modalities and global marketplaces with 55M+ growing subscribers

I lead the entire product design for Amazon’s first mobile chatbot- Message Us. I work closely with UX writers, machine learning scientists, and software engineers to create workflows from scratch to provide smart resolutions for our customers.

Message Us on Amazon mobile shopping app was successfully launched in US/UK/IN marketplaces.

Redesigned workflows resulted in Automated Issue Resolution(AIR) rate increased by 15%, and contributed to global operational savings.

I define product vision by driving initial research for Worldwide Customer Service Central(CSC) performance management tool. I facilitated round-tables and interviews at 3 internal sites to generate user insights and strategy blueprint. Final deliverables were presented to higher leadership, gained alignment between product, tech and operations and became part of product roadmap.

Successfully shipped two V1 products within 2 years, Echo show alone has 9 MM unit sales within the first year

Work alongside with 3 Product teams at the same time, with 2 Engineer teams and 1 Machine Learning team based in 3 different locations

Expert for multi-modal domain design and led end to end screen UX for multiple hero features that scale across devices:

Working closely with Voice UX Designers to define a new paradigm for using voice control a primary input while ensure customers can flexibly leverage screen as a secondary mode of interaction.

Create and advocate for pattern consistency across multiple platforms(Echo show, Echo spot, Alexa mobile app and FireOS)

Evangelize for multi-modal design and champion for studio-wide IxD process improvement by proposing redesigned IxD wiki, sharable templates and tools.

Participated in the entire phase of the research includes brainstorming, physical prototyping, and making an extensive collection of car related experience to identify initial research space and uncover point of interest.

Especially contributed in making visualisations and prototypes to explore the areas of speculative in-car interface, mediated car experiences and digital terrain, while thinking about user’s behaviour and scenarios that would impact the connected car community in 10-15 years.