MLOps World is an international community group of practitioners trying to better understand the science of deploying ML models into live production environments.
Created by the Toronto Machine Learning Society (TMLS) this initiative is intended to unite and support the wider AI Ecosystem, companies, practitioners, and academics and contributors to open-source communities operating within it.
With an explorative approach, our initiatives address the unique needs of our community of over 9,000+ ML researchers, professionals, entrepreneurs and engineers. Intended to empower its members and propel productionized ML. Our community gatherings and events attempt to re-imagining what it means to have a connected community; offering support, growth, inclusion for all participants.
We strive to support our community by supporting;
- Regular social gatherings
- Knowledge sharing and career development
- Identification of opportunities and effective practices, methodologies and principles around deploying models into live production environments
- Unique local and global partnerships
- Hiring and talent building
- Growth of diverse and inclusive teams
The MLOps World 2022-2023 Steering Committee
- Hien Luu, Senior Engineering Manager – Head, ML Platform
- Chip Huyen, Co-Founder, Real-time ML Infra Startup
- Piero Molino, Co-Founder & CEO of Predibase
- Norm Zhou, Engineering Manager at Meta AI
- Goku Mohandas, Founder, Made With ML
- Patrick Halina, Software Architect/Manager ML Engineering, Zynga
- Alireza Darbehani, MLOps Engineer, BenchSci
- Vincent Chio, Data Science Manager, Shopify
- Jason Carayanniotis, CEO – Artinus Consulting Inc.
- Raphael Taiwo Alabi PhD, Lead Machine Learning Engr | Cybersecurity, Docusign
- Saurabh Marathe, Senior Machine Learning Engineer, Walmart Inc. (formerly WalmartLabs)
- Shervin Shahidi, ML Engineer, Roblox
- Ville Tuulos, Co-Founder & CEO, Outerbounds
- Nick Pogrebnyakov, Senior ML Engineer, Twitter
- Phoenix Unnayan Majumder, Head of Data and Analytics Centre of Excellence, Rogers
- Ben Ashtiani, Director, Data & AI PwC Canada
- Jérémie Vallée, Engineering Manager – ML Infrastructure, Duo Security
- Mohammad Sabri, Chief MLOps Officer, Rocket Science Development
- David Kanter, Founder, Executive Director, MLCommons
- Farzaneh Rajabi, Research Assistant, Stanford University
- Dr. Larysa Visengeriyeva, Head of Data and AI, INNOQ
- Wenjie Zi, Senior Research Engineer at Borealis AI
- Savin Goyal, CTO & Co-Founder, Outerbounds
- Nadia Rauch, PhD, Engineering Manager, Machine Learning and Data Engineering, Nylas
- Neeraj Madan, Data Science Leader, IBM
- Victor Pereboom, Founder & CTO, UbiOps
- Eduardo Apolinario, OSS Team Engineering Manager, Union.ai
- Michael Gehmeyr, Director, Computational Sciences, Biodesix, Inc.
- Dmitry Petrov, CEO & Co-Founder, Iterative.ai
- Suresh Kumar Khemka, Head of Platform Engineering & Infrastructure, Apna
- Arshad Ahmed, Lead Product Owner, Machine Learning Platform, Lloyd’s Banking Group
- Shailesh Kochhar, Platform Architect
- Andrea Rondelli, Head of Data Platform, Italiaonline
- Nakul Arora, Head of Data CVML Platform
- Andrew Sridhar, Head of Product, ML Platforms & Event Exchange, Wayfair
- Ashkan Amiri, Director, ML R&D, Blackberry
- Xiuduan Fang, Head of Platform Integrity Engineering, Snap
- Vivek Murugesan, Vice President – ML Engineering, Yubi
- Guhan Venguswamy, Head of Platform Engineering, Jasper AI
- Svetlana Zavelskaya, Director, BlueOwl LLC
- David Hendrawirawan, Adjunct Faculty, The University of Texas at Austin