Educational Work

A team presentation examining how AI-native companies — built from day one around AI, with no legacy systems — operate differently from traditional firms retrofitting AI onto existing processes.

• Researched and presented on organizational design differences (flatter structures, smaller teams, higher output per employee) between AI-native and legacy firms.
• Built a SWOT analysis of AI-native companies, covering cost advantages and faster innovation against risks like high upfront costs and overreliance on unproven systems.
• Framed governance challenges — accountability, transparency, and workforce impact — and led an interactive class discussion on AI decision-making and oversight.
• Drew on sources including McKinsey's State of AI report, NIST's AI Risk Management Framework, and the Stanford AI Index.

SyncUp AI is a mobile-first scheduling app concept for university students: it reads an uploaded syllabus and automatically builds a conflict-free semester schedule around classes, work shifts, and personal time.

• Built out the full venture narrative: problem sizing, target customer profile, and a three-tier pricing model (Free / Premium $4.99 / University licensing).
• Developed the competitive landscape analysis against Notion, Google Calendar, Shovel, and MyStudyLife, and validated demand through a 47-student survey and 8 peer interviews.
• Contributed to brand positioning, go-to-market strategy (Instagram ads, campus ambassador program, SEO), and a phased growth plan from campus pilot to pan-Canadian expansion.

I'm working on adding more in-depth research papers and class projects to this page over my final year — check back for updates.