I am passionate about discovering and exploring business market gaps, taking particular joy in integrating rigorous AI research.     Here are some selected proposals at Adobe, a testament to my journey of invention and design - each design, prototype, and demo recording is crafted by me.

Catchy Content

Why is nobody clicking your website?

This proposal can help Marketers and Content Creators understand which type of content engages well with users (indicated by views, clicks, etc). It uses topic models to convert long-form articles into tags and provide a snapshot view of content tags to such engagement metrics.

Outcomes: 


Topic Models     Image Tagging    Readability

Contextual Alchemy

Reading, Reimagined

This proposal proposes to keep articles evergreen such that they resonate and remain relevant to readers through personalized examples. Using LLMs, it changes an example according to user topic interest, geographic region, or even generation. 

Outcomes: 



Large Langauge Model    Fact-Checking    Information Extraction


WorkInFlow

More Creating... Less Catching Up...

This proposal enables creatives to assign ad-hoc tasks to others within their network, based on profiles, availability, task preferences, and past interactions. It streamlines the tracking and communication process, alleviating the burden from creatives.

Outcomes: 


Topic Models     Profile Matching   Load-Balancing

Content Tensor

What to write about?

This proposal aids marketers in navigating their extensive content repositories to swiftly pinpoint strategic 'gaps.' Using few-shot classification, it tags content with custom strategies and accelerates the decision-making process for creating engaging content. 

Outcomes: 


Few-Shot Classification