DESIGNINGEXPERIENCESresearch
Hi! I'm Shweta Sharma, a UX Researcher & AI/ML Grad Student at Drexel — I design experiences people actually want to use, and lately, I've been teaching machines to help.
about me
My 6+ year journey started with a simple obsession: figuring out why people do what they do, and caring about what happens when they can't. I began in UX design, shaping e-commerce at Arcadia, building wellness platforms, and redesigning enterprise tools at John Deere. Behavioral analytics pulled me deeper. Not just tracking clicks, but understanding the why behind every hesitation. With a Masters in AI/ML from Drexel and my current work at ABIM building NLP models that detect bias in clinical communication, the mission got sharper: how a doctor talks to a patient shouldn't depend on who that patient is. Whether I'm in a user interview or fine-tuning a transformer, I'm still just trying to understand people. I just have better tools now.
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Selected
research &
design.
version: 2026.1
status: open_to_work
Measuring Patient-Centered Communication
Building a scalable, rubric-grounded NLP pipeline that measures patient-centered communication behaviors across real clinical transcripts. Operationalized frameworks like Calgary-Cambridge and NURSE into measurable constructs for ABIM.
PM Design Thinking @ John Deere
Led product design thinking workshops and UX research sprints inside a Fortune 500 enterprise. Embedded mixed-methods research into the PM workflow to validate product decisions and reduce assumption-driven development.
Healthcare Bias — NLP Detection
4-label bias framework
Stories by Children
50% → 85% task success
E-Commerce Personalization at Scale
11% conversion lift
Enterprise Survey Logic & Analytics
60% faster build time
GesturePro — Sign Language Translation
Real-time, zero hardware
CryptoSecure: Smart Contract Security
$10k audit → 30 seconds
When I'm not researching
I work hard and then I go find something that has nothing to do with work.
Slopes, cities, finish lines, ship decks — whatever gets me out of my head and into the world.












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