// Abstract

Breno and Matheus were part of an organizational change at Neoway in recent years. With the creation of cross-functional and platform teams in order to improve the value stream generated by these. They share their experience in creating a machine learning platform team. The challenges they faced along the way, how they approached using product thinking and the results achieved so far.

// Bio

Matheus Frata Matheus is an Electronics Engineer that got into Data Science by accident! During his graduation, Matheus joined Neoway as a Data Scientist, but during that time he saw a lot of problems that were related to engineers! This was Matheus' beginning with MLOPS.  Today, Matheus works as a Machine Learning Engineer helping their Data Scientists to FLY!!!

Breno Costa

Breno uses his mixed background in Computer Science and Mathematical Modeling to design and develop ML-based software products. A brief period as an entrepreneur gives a different look at how to approach problems and generate more value. He has worked at Neoway for three years and currently works as a machine learning engineer on the Platform team.

https://mlops.community/building-neoways-ml-platform-with-a-team-first-approach-and-product-thinking/

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Timestamps:

[00:00] Introduction to Breno Costa & Matheus Frata

[02:08] Breno's background in Neoway

[03:23] What does Neoway do and Matheus' background in Neoway

[05:43] Organizational structure of Neoway

[07:31] Concept of redesign

[10:47] Getting the structure right as a priority

[15:26] Designing the teams

[20:28] Three different ways of setting up the cells interaction

[23:58] Platform differences

[25:33] Technical components before redesigning and organizational overhauling

[31:50] Supporting platform teams

[33:23] Settling tech stack managing technical needs

[42:10] Building internal tools

[50:10] Wrap up