Cover Image for Demo Day: Inference AI Academy Cohorts 2/3
Cover Image for Demo Day: Inference AI Academy Cohorts 2/3
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Demo Day: Inference AI Academy Cohorts 2/3

Hosted by Chloe Kwok, Tara Zhou & carol
Zoom
Registration
Past Event
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About Event

What if you could watch someone go from “I have an idea” to “Wait… it actually works” in a few weeks?

That’s what Inference AI Academy Demo Day is: a public showcase of projects our students have been building — with all the real-world messiness, iteration, and “first working prototype!!” energy that comes with shipping something for the first time 🚀

Join us for an evening of demos, project stories, and thoughtful feedback from our guest judges.

What You’ll See

  • Live project demos
    Everything from scrappy first prototypes to projects that are already starting to feel real — plus the story behind how they got there.

  • Build process + lessons learned
    Students will walk through what they built, what broke, what changed, and what they’d do next.

  • Feedback from guest judges
    Live reactions, practical suggestions, and guidance on what to improve if they keep building.

Judges

Yuchen Wang

Yuchen is an AI research engineer and founder working at the intersection of AI agents, AI infrastructure, and applied ML. Previously, she worked at Microsoft Bing Search on large-scale LLM pipelines and Azure Semantic Search, and has also done research at the Vector Institute and University Health Network.

Shiyi Peng

Shiyi Peng is a founder and engineer building at the intersection of AI applications, product, and real-world scale. She is the Founder of Eros Eta, an app studio with 200K+ users, and MasterInterview, a Top 10 pick on the ChatGPT Store. Previously, she worked at Microsoft and Coinbase, and studied Computer Science at the University of Waterloo.


About Inference AI

Inference AI Academy is a hands-on program for people who want to actually build in AI — not just watch tutorials. Students learn practical AI engineering skills, ship real projects end-to-end, and get feedback + support as they go.


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