• Designed multi-stage AI-assisted classification workflows transforming unstructured regulatory data into a structured, multi-level product taxonomy.

• Built human-in-the-loop validation systems that route low-confidence classifications to expert review, significantly reducing manual workload.

• Designed semantic search and recommendation experiences improving recall discovery speed and relevance.

• Created confidence-based UX patterns and guardrails to balance automation with trust in a consumer-facing regulatory product.

• Partnered closely with ML engineers, product, and compliance teams to align model behavior with real-world regulatory constraints.

• Optimized system performance, reducing classification time from 16–18 hours to 3–4 hours through tiered model strategy.

Impact: Delivered a largely autonomous recall monitoring experience while preserving accuracy, auditability, and user trust.

• Built executive and customer-facing dashboards translating complex telemetry data into actionable insights.

• Identified critical data gaps and partnered with data science to improve reporting accuracy and trust.

• Designed lifecycle and anomaly detection dashboards supporting product and operations teams.

Impact: Improved transparency and decision confidence across multiple product organizations.

Recruited into a defined transformation mandate during rapid growth to stabilize and modernize design operations.

• Established a unified cross-functional design process across product, engineering, marketing, and creative.

• Built a scalable design system and component library to standardize delivery.

• Reduced design turnaround time from 4 weeks to 1 week.

• Increased team efficiency by 50% through clearer ownership and collaboration models.

• Mentored and supported a multidisciplinary design team through organizational change.

Engagement completed following successful stabilization of design operations.

Member of a 0 -> 1 product team operating under dual NDAs, exploring new product surfaces for frontline workers and managers.

• Designed enterprise scheduling, time & attendance, and operational dashboards for complex workforce environments.

• Created early AI-driven notification and chatbot concepts for anomaly detection and workflow assistance.

• Conducted gap analyses for acquisitions and re-platforming initiatives.

• Championed accessibility through audits and mitigation planning.

• Pitched emerging product concepts and secured multi-year funding via a stage-gate design process; achieved 100% conversion from early adopter pool and generated market interest in adjacent verticals.

• Contributed to executive pitches securing multi-year funding for emerging initiatives.

First UX hire for a cloud-based FP&A platform serving enterprise finance teams.

• Built and led a multidisciplinary UX team while remaining hands-on in core product design.

• Designed complex financial workflows for forecasting, consolidation, reporting, and scenario modeling.

• Created a platform-wide design system from the ground up, standardizing interaction patterns and visual language.

• Conducted research and usability testing to simplify highly data-dense interfaces without sacrificing precision.

• Established cross-functional agile collaboration models across Product, Engineering, QA, and Documentation.

Impact: Contributed to multiple #1 usability rankings by Nucleus Research and scaled UX maturity across a growing enterprise platform.