Building AI Systems with DSPy - Beyond 101

Hosted by Amir Feizpour and Ian Yu

Fri, Feb 13, 2026

5:00 PM UTC (45 minutes)

Virtual (Zoom)

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Build Multi-Agent Applications - A Bootcamp - LangGraph, Cursor, n8n
Amir Feizpour, PhD
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What you'll learn

DSPy as a System-Building Tool

How DSPy connects prompts, programs, evaluation, and optimization into a unified workflow.

From Components to Agents

Practical patterns for composing DSPy modules into agentic applications.

Evaluation-Driven Development

Using metrics and feedback loops to guide system behavior and improvements.

Auto-Optimization in Practice

How DSPy’s optimization capabilities reduce manual prompt tuning and iteration cost.

Why this topic matters

As LLM systems grow more complex, ad-hoc prompt engineering no longer scales. DSPy represents a shift toward principled, engineering-first approaches to agentic AI. This session equips experienced practitioners with the tools and patterns needed to build more reliable, evaluable, and maintainable AI systems in production.

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.

Ian Yu

MLE @ Rezolve AI

Ian Yu works as Machine Learning Engineer at Rezolve AI while serves as independent consultant for startups. He has designed and deployed Generative AI projects and high-fidelity RAG solutions in different flavours, from small team to solutions requiring high QPS at sub-second latency. His projects cover eCommerce, automobile, and legal domains.

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