Research &
Product Work
Human–building interactionConnecting behavioral evidence, data, field observation, prototypes, and communication across technical teams.
I move between research labs, product rooms, and lived experience, asking how technology can understand people more carefully—and help them act with greater clarity.
Scientific rigor, human behavior, and things people can actually use.
Connecting behavioral evidence, data, field observation, prototypes, and communication across technical teams.
Contributing to an open-source tutoring ecosystem through learner journeys, feedback loops, experimentation, and careful AI.
An interdisciplinary path across design, data, psychology, technology, and entrepreneurship.
Products and experiments treated as arguments—not decoration.
A workspace that turns scattered qualitative evidence into structured, traceable insight.
A playful bridge between language, mood, and personal planning.
Making personal signals legible without pretending the body is merely a dashboard.
Questions, papers, and unfinished thinking. Uncertainty stays visible.
How behavioral evidence and sensing systems can support decisions while respecting context and agency.
Open tutoring, feedback, and the choices that determine whether adaptation feels helpful or opaque.
Wearables and interpretable ML, with attention to the language and behaviors surrounding prediction.
A living practice: proven strengths beside the capabilities I am actively sharpening.
Mixed methods, interviews, evidence mapping, and translating ambiguity into a useful decision.
RESEARCH · COMMUNICATIONAnalysis, visualization, experimentation, and interpretable machine-learning workflows.
PYTHON · ANALYTICSRapidly shaping ideas into interactive systems people can test, question, and improve.
HCI · JAVASCRIPT · GITLLM evaluation, tool orchestration, responsible use, and keeping humans in the decision loop.
LLMs · EVALUATIONChoosing the consequential problem before optimizing the visible solution.
SYSTEMS · PRIORITIZATIONWriting, presenting, and making technical ideas legible across disciplines.
STORY · STAKEHOLDERSLearning in motion, working across domains, and staying useful when the frame changes.
LEARNING · CURIOSITYFinding friction, clarifying feedback loops, and improving how teams move from signal to action.
OPTIMIZATION · COLLABORATIONWhere rhythm, patience, play, coordination, and nerve are trained.