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Building An Agentic Data Scientist

Hosted by Amir Feizpour and Abhi Anand

92 students

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Build Multi-Agent Applications - A Bootcamp
Amir Feizpour, PhD and Abhimanyu Anand

What you'll learn

Nuances of Automating the Data Science Lifecycle

How to optimize and tune multi-agent system performance

Techniques for designing modular & scalable AI Agent systems

Why this topic matters

This talk showcases a practical LLM-driven multi-agent system that automates complex data science workflows. Using this real-world example, you'll learn how to architect collaborative AI agents that handle task delegation and workflow optimization. We'll explore key implementation techniques for building scalable agent systems, from modular design patterns to performance tuning strategies.

You'll learn from

Amir Feizpour

Founder @ Aggregate Intellect

Amir Feizpour is the founder, CEO, and Chief Scientist at Aggregate Intellect building a generative business brain for service and science based companies. Amir has built and grown a global community of 5000+ AI practitioners and researchers gathered around topics in AI research, engineering, product development, and responsibility. Prior to this, Amir was an NLP Product Lead at Royal Bank of Canada. Amir held a research position at University of Oxford conducting experiments on quantum computing resulting in high profile publications and patents. Amir holds a PhD in Physics from University of Toronto. Amir also serves the AI ecosystem as an advisor at MaRS Discovery District, works with several startups as fractional chief AI officer, and engages with a wide range of community audiences (business executives to hands-on developers) through training and educational programs. Amir leads Aggregate Intellect’s R&D via several academic collaborations. 

Abhi Anand

Data Scientist @ Wattpad

Abhimanyu has 7+ years of experience building AI products and applications across diverse industries—from large-scale internet platforms to metals & mining and e-commerce.

Currently, he leads the development of recommender systems and GenAI powered applications at Wattpad, delivering personalized content experiences to millions of users.

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