Engineering with Agentic AI – Your newest team member
Part 2: Simulation, CI/CD, and Code Generation with Agentic AI
| Start Time | End Time |
|---|---|
| 26 May 2026, 22:00 EDT | 26 May 2026, 23:00 EDT |
Overview
Today’s engineering landscape requires teams to move fast without sacrificing quality. Agentic AI amplifies your team’s ability to innovate. As AI reshapes how systems are prototyped, designed, and deployed, one thing is clear: teams that win will be those that pair domain-trusted tools with AI-powered engineering workflows. MATLAB and Simulink give you the tools to do both.
This webinar series covers workflows to help your team build smarter, scale faster, and bring breakthrough products to market with confidence using Agentic AI techniques.
Highlights
Part 2: Simulation, CI/CD, and Code Generation with Agentic AI
- Connect existing models to requirements and test
- Automate the integration with multiple releases and generate reports
About the Presenter
Yann Debray is a technical marketing manager at MathWorks focusing on AI. He creates hands-on content—blog posts, tutorials, and demos—that translate features into guidance for engineers, including integrating with languages like Python, AI frameworks like PyTorch and dev environments like VSCode. Previously, Yann worked in an open-source scientific computing startup called Scilab. He holds an Engineering Master’s from Arts et Métiers ParisTech and is the author of a book on MATLAB with Python.
Shine Rezaei is a Senior Application Engineer at MathWorks with a background in machine learning and the Theory of Constraints (TOC). Over the past seven years, Shine worked as a Data Analyst at gold mining companies, contributing to a broad range of data-driven initiatives in both operational and technical domains. Shine holds an MPhil in Data Science, an MSc in Electrical and Computer Science, and a BSc in Biomedical Engineering.
This event is part of a series of related topics. View the full list of events in this series.
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