MLOps Coffee Sessions #73 with Breno Costa and Matheus Frata, On Structuring an ML Platform 1 Pizza Team.
// 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.
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
Get the Snipd podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered podcast player
Listen to all your favourite podcasts with AI-powered features
Discover highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share & Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered podcast player
Listen to all your favourite podcasts with AI-powered features
Discover highlights
Listen to the best highlights from the podcasts you love and dive into the full episode