Building AI Apps in 30 Minutes: Idea to Live App, No Code

Hosted by Aki Wijesundara, PhD and Manu Jayawardana

Wed, Jun 24, 2026

10:00 PM UTC (30 minutes)

Virtual (Zoom)

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Practical ML Ops for Data Scientists
Akshika Wijesundara, PhD
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What you'll learn

How to go from a sentence to a working app in Lovable

Describe what you want, watch it build. The prompts that get a usable app, not a broken demo.

What to do when the AI builds the wrong thing

It will. How to steer Lovable back on track instead of starting over every time it breaks.

Live build: idea to a live link you can share today

We ship a real working app start to finish — no setup, no code, no engineer needed.

Why this topic matters

The barrier to building has collapsed. You no longer need an engineering team to ship an app — you need a clear idea and the right tool. With Lovable, the bottleneck isn't code anymore; it's knowing how to describe what you want and steer the AI when it drifts. The people winning right now aren't writing more code, they're shipping faster than everyone still waiting on a dev.

You'll learn from

Aki Wijesundara, PhD

AI Founder | Educator | Google AI Accelerator Alum

Aki Wijesundara is an AI leader with a PhD in Machine Learning and extensive experience mentoring startups at Google’s AI Accelerator. With a career spanning both research and applied AI, Aki has taught 5,000+ students worldwide how to design and deploy production-ready AI systems.

He has worked across cutting-edge areas of applied AI, from LangChain and RAG pipelines to observability and large-scale deployment. As a researcher and educator, Aki bridges the gap between theory and practice, making complex systems approachable and actionable for engineers, founders, and product leaders.

Aki is also a frequent speaker and advisor to organizations adopting AI, helping them transition from experimentation to production at scale.


Career highlights

  • Ex–Google AI Accelerator researcher focused on responsible AI and applied ML.
  • PhD in AI & Cognitive Systems with published research across top universities.
  • Former researcher with teams affiliated with MIT, University of Oxford, & King’s College London.
  • Co-founder of Snapdrum — delivered AI systems for finance, education, and healthcare.
  • Built and deployed AI product pipelines used by PMs, startups, and enterprise teams.
  • Instructor for multiple AI builder programs, helping 500+ professionals ship AI features fast.


Manu Jayawardana

AI Advisor | Co-Founder & CEO at Krybe | Co-Founder of Snapdrum

Manu Jayawardana is a serial entrepreneur with multiple AI startup successes.

He is also the Co-Founder of Snapdrum, an AI consultancy helping companies integrate and automate their businesses using AI. Through Snapdrum, Manu has worked with top startups and enterprises across the U.S., Europe, and Asia, advising on automation, product development, and AI strategy.

Currently, Manu is the Co-Founder & CEO of Krybe, an AI voice agent startup in London transforming how businesses automate customer interactions. His experience spans fundraising, scaling products, and leading teams to deliver production-grade AI solutions adopted globally.


Career highlights

  • Co-Founder of Snapdrum — builds production-ready AI systems for Fortune 500s, YC startups, and global Series A–C companies.
  • Co-Founder of Krybe — ultra-realistic voice AI platform with 1000+ users and part of the NVIDIA Inception Program.
  • Built and scaled 10+ companies across AI, SaaS, analytics, and EdTech, including a B2B analytics product that grew 10× in one year.
  • Former Entrepreneur First Unlock Fellow, selected for high-potential AI founders.

Previously Students from

Google
Amazon Web Services
NVIDIA
OpenAI
Meta
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