Co-Founder, INSEAD AI Club

When I joined INSEAD, everyone in the cohort was eager to understand AI but most usage stopped at basic ChatGPT prompting. There was no structured, go-to place to move beyond the noise into actual application. I realized the fastest way to learn wasn't in isolation, so I decided to co-build a community that could figure it out together.

My Role

• Facilitator. I stepped in as someone who wanted to learn and believed a collaborative environment was the best way to do it.

• Track layer. Sourcing resources, organizing deep dives, and creating a space where curiosity could turn into something functional.

• Community builder. Grew a 60+ member cross-campus club and partnered with tool providers to give the cohort friction-free access to experiment.

Execution

• From Research to Application. We structured the club to bridge academic research and tangible application. We started by actually understanding how the technology worked — breaking down foundational papers like Attention Is All You Need and Language Models are Few-Shot Learners in reading groups, then moved to deep dives on supervised vs. unsupervised learning and specific domains including vision, text, and voice.

• Zero-to-One Builds. The goal was always hands-on execution. We ran live workshops where members built functional websites from scratch using AI agents like Manus and Lovable. Some of what came out of those sessions include: a travel itinerary tool for INSEAD students, a networking productivity tool, and a personal anniversary website a classmate built for his partner telling their story.