Building a Multi-Agent Research System in 30 Minutes

Hosted by Aki Wijesundara, PhD and Manu Jayawardana

Fri, Jan 23, 2026

6:30 PM UTC (30 minutes)

Virtual (Zoom)

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Designing Multi-Agent AI Systems
Aki Wijesundara, PhD and Manu Jayawardana
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What you'll learn

A practical approach to multi-agent research systems

Understand how to decompose research tasks into coordinated agent roles.

How to design researcher, planner, and reviewer agents

Assign clear responsibilities to avoid duplication and conflict.

How agents gather, synthesize, and validate information

Structure workflows so outputs are grounded and verifiable.

How to manage coordination, memory, and iteration

Prevent runaway loops and ensure research converges.

How to evaluate research quality and reliability

Assess correctness, coverage, and confidence before using outputs.

Why this topic matters

Research-oriented agent systems often look impressive but fail due to poor coordination, unclear roles, or lack of validation. This session focuses on building research agents that produce useful, trustworthy results instead of superficial summaries.

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

Exited AI Founder (Rise AI: 35k Users) | Co-Founder of Krybe and Snapdrum.com

Manu Jayawardana is a serial entrepreneur with multiple AI startup successes. He exited Rise AI, a fintech app with over 35,000 users, to a private investor, demonstrating his ability to build and scale impactful products.

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.
  • Exited Founder of Rise AI — created an AI investment copilot used by 35,000+ users worldwide.
  • Co-Founder of Krybe — ultra-realistic voice AI platform with 1000+ users and part of the NVIDIA Inception Program.
  • Creator of the #1 ranked Investment GPT on the OpenAI Store with 30,000+ users.
  • 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.


Previous Students from

Google
Boston Consulting Group (BCG)
Meta
OpenAI
NVIDIA

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