MLOps EngineeringLabs: What We Learned Building End-to-end ML Applications on Flyte / How Flyte Orchestrates Tasks and Workflows

Haytham is a co-founder and CTO of Union.AI. And a co-founder and a maintainer of the Flyte Open Source Project.

Haytham has gained experience in building distributed systems and cloud-native solutions through his tenure at Microsoft, Google, and Lyft.

Niels is a machine learning engineer and core maintainer of Flyte, an open-source ML orchestration tool, and author and maintainer of Pandera, a statistical typing and data testing tool for dataframes. His mission is to develop open-source tools for making data science and machine learning practitioners more productive.

He has a Masters in Public Health with a specialization in sociomedical science and public health informatics, and prior to that a background in developmental biology and immunology. His research interests include reinforcement learning, AutoML, creative machine learning, and fairness, accountability, and transparency in automated systems.

Amale has been working for 3 years first as a data scientist and then as an ML Engineer on multiple projects involving the training and deployment of machine learning models in production. It allowed Amale to strongly develop her MLOps proficiency (training automation, ML pipelines creation, models performances tracking, etc).

Ali has worked for 4+ years in Software development, eventually finding his true calling in DevOps and MLOps after working in Android and iOS, full-stack dotnet, and mern stack web development.

Abdullahi is an ML engineer with hands-on experience in building a data-centric application using different tools especially open-source to overcome complex architectural hurdles and scalability issues in diverse industries. Abdullahi is proficient in MLops Engineering & Business value-driven.

Matheus is a machine learning engineer at Hurb, where he's helping to develop a solid MLOps platform for the team.

Matheus has a Bachelor's Degree in Electronics and Computer Engineering from the Federal University of Rio de Janeiro (UFRJ).

At the moment Demetrios is immersing himself in Machine Learning by interviewing experts from around the world in the weekly MLOps.community meetups. Demetrios is constantly learning and engaging in new activities to get uncomfortable and learn from his mistakes. He tries to bring creativity into every aspect of his life, whether that be analyzing the best paths forward, overcoming obstacles, or building lego houses with his daughter.