Additional Work

Project Overview

Not every project becomes a case study—but these gave me hands-on experience  designing AI for scale, building cross-functional alignment, and staying flexible when things got complex. Each of these contributed to how I approach design today—especially when navigating technical constraints or large datasets.
‍
01
Clarity AI

Personal pet project to create a comprehensive AI UX toolkit that streamlines product development workflows across design, management, and ownership functions. This AI assistant automates routine tasks including user research synthesis, requirement documentation, backlog prioritization, wireframing, and specification creation. The system integrates with existing product development tools while providing AI-powered insights that help teams make more informed decisions throughout the product lifecycle.

This project demonstrates my understanding of both product development processes, practical AI implementation to solve real workflow challenges and my commitment to refining my knowledge.

02
Admin & Version Control for Master Data Management (MDM)

Designed and delivered a comprehensive internal admin system consisting of 15+ pages to support the creation of complex market research studies. Took ownership of the UX/UI independently, aligning user workflows across multiple user types (data scientists, PMs, and analysts). The system defined how future studies would be configured, built, and managed, forming the backbone for accurate data delivery.

03
CSI (Custom Survey Integration)

Expanded our core dataset by integrating third-party survey data, enabling deeper, more tailored insights for client use cases. Mapped complex internal and external workflows, collaborated with vendors, and aligned on business logic to ensure data accuracy and usability.

Rainbow divider bar
UI design system coverThis is 6 pages of the RLD page as a whole. The internal options builder flow

Each project taught me more about working at the intersection of data, design, and business needs. They refined my ability to work at scale, design for internal systems, and collaborate across disciplines and reflect the technical depth and flexibility that I bring to both user-facing and operational design challenges.

Cross-functional highlights and learnings from these projects:
‍
♡ Acted as a bridge between technical and non-technical stakeholders, streamlining communication across roles to deliver faster, cleaner outcomes.

♡ Worked with data scientists and analysts to surface insights and ensure accuracy in tools involving large datasets (e.g., Release Dictionary, Datahaul, RLD, MDM).

♡ Collaborated with product managers to refine requirements and translate business rules into scalable, user-friendly interfaces..

♡ Talk early and often with your stakeholders throughout the project. It will save a ton of time in the long run if you make good relationships with them.  
‍

Lets Connect!

Open to collaborations, mentorships, and new opportunities in AI-forward product design.

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Powered by Love & Coffee
LinkedinGithub