I design software and lead research initiatives to expand the capabilities of Fulfil's internal tooling, as well as improve their reliability and precision. I empower Fulfil's developers and engineers, as well as any of Fulfil's partners, with the situational awareness they need to efficiently test, iterate, monitor, and interact with the automation in Fulfil's complex human-machine ecosystem.

I often lead initial discovery by working with stakeholders and users (sometimes both partner and internal teams) to define project scope, roadmap, uncover unmet needs, and success metrics. I build, test, and iterate alongside them and ensure that there is alignment between all relevant parties. I also work closely with the developers and support them in gathering feedback, and monitoring for avenues of improvement. A prominent of this example being the Induction UX, a critical human touchpoint in Fulfil's automation ecosystem. I have elevated the operator experience by shipping multiple new workflows related to operator error handling and quality control while balancing tradeoffs to operator throughput. This has lead to fewer errors downstream, meaning higher machine availability and improved ability to fulfill customer orders.

I have also taken the initiative to learn and contribute new features, tests, and workflows to Fulfil's front-end repository using AI code tools (with support from other developers on the team). I have been able to broaden my range of methods to experiment with new ideas and features. Critically, incorporating AI code tools into my process has provided me with deeper insight into how developers modeled Fulfil's systems and what their constraints are. This has in turn exponentially improved my ability to collaborate with developers as I have been able to anticipate and balance optimal UX and cost of implementation.

• Crafted the heuristics, design principles, and interactions for a multi-modal, LLM-powered conversational agent to support engineers across Meta’s Hyperscale Data Centers; improving infrastructure up-time and enabling long-term scalability.

• Conducted interviews, design activities, and collaborative sessions with SMEs from Meta and across various analogous domains; synthesized findings to understand contextual challenges and user workflows, build user empathy, and triangulate high-impact design opportunities.

• Designed user studies, defined testing metrics, and rapidly iterated upon concepts ranging from AR headsets to policy interventions, and CUIs.

• Presented the potential design impact and value to clients, users, and stakeholders; created a comprehensive report documenting our findings and process for future reference.

• Identified and tackled opportunities to utilize 4D printing and the Shape Memory Effect of 3D printing for on-site self-assembly within applications like wind turbines and facade structures to address sustainability challenges during transport, assembly, and end-of-life.

• Prototyped a wind turbine blade, and developed storyboards, renders, and other visualizations to illustrate the value and story of the project to both internal and external members.

• Winner of “Most Innovative Research Idea” - Scott Institute Of Energy Research Poster Competition

• Developed a novel hand-held medical device for the diagnostics of ocular fluid to minimize patient risk and improve procedure efficiency alongside a team of clinical physicians, engineers, and designers.

• Led usability testing, and supported the development of the prototypes and visuals to translate key needs into a streamlined, and user-oriented experience.