San Francisco, California, United States
- Conducted Wizard of Oz user testing with 8+ designers to evaluate an AI user flow tool, surfacing a 60% preference for AI-scaffolded ideation over unguided exploration and directly shaping the revised feature roadmap. - Designed low-fidelity prototypes and iterative wireframes for an AI design platform, synthesizing usability findings into a deliverable presented to a supervisor, resulting in 3 validated feature directions for the next sprint. - Applied prompt engineering and AI-assisted rapid iteration to cut prototype cycle time by ~40%, enabling same-session design critiques that surfaced accessibility gaps overlooked in prior manual reviews.
- Designed a screen-time reduction app concept, owning full user flows, brand style guide, logo, and feature set, and presented the polished prototype to an active Apple designer whose feedback drove 5+ targeted UX improvements. - Co-developed and led design curriculum for 15+ novice designers alongside a faculty professor, delivering 1:1 mentorship and critiques that produced measurable Figma, wireframing, and color theory skill gains in one quarter.
- Led a 7-person team through a full research cycle—thematic analysis of 10+ HCI papers, research design, and speed-dating user tests — producing a deliverable that earned faculty approval for an interactive lab framework. - Built storyboards and functional prototypes via Antigravity vibecoding to resolve a lab-wide gap in research pathway clarity, with member feedback confirming reduced onboarding confusion and faster role comprehension.
- Contributed to 3 studies on AI and memory (ChatGPT vs. Google, photo-taking impairment), piloting across 70+ participants and identifying a mid-study data confound that was corrected to preserve experimental validity. - Coded thousands of open-ended participant responses using a structured answer key and Google Sheets filtering, cutting per-session coding time by ~30% while maintaining consistency and reliability across a large dataset. - Synthesized 10+ literature reviews into actionable research implications for 3 proposals on cognitive offloading and AI-assisted learning, presenting findings to the lab team to align on direction and methodological approach.
- Directed 5+ competitive performances (choreography, blocking, scheduling), achieving Cruz Ctrl's first-ever competition placements, including a podium finish at World of Dance. - Created and implemented a structured training program targeting foundational movement skills, providing individual notes to 30+ dancers and achieving visible technique improvements within a single quarter cycle.
Developed an image recognition model using Spiking Neural Networks (SNN) by studying biologically-inspired ML methodologies, producing a functioning proof-of-concept that deepened team understanding of how neural timing and spike-based computation differ from standard deep learning architectures.
- Shadow residents in the General Dentistry Clinic and Endodontics Clinic - Assist dentists in various treatments including teeth extractions, root canals, crowns, and dentures
- Assist endodontists with treatment, patient care, sterilization of equipment, preparation of treatment rooms, uploading patient insurance & files - Develop strong communication and interpersonal skills through interactions with patients and staff
- Organize Lowell’s only free peer tutoring program, ensuring all students receive the academic support - Manage 100+ tutors and personally paired each with a student based on individual needs - Directed the application/interview process, hosted trainings on proper tutoring etiquette, and held informational meetings - Collaborate with administration, teachers, and CSF board to develop effective tutoring programs