Generative AI World Summit

Hosted By MLOps World

About Us

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 HuyenCo-Founder, Real-time ML Infra Startup
  • Piero MolinoCo-Founder & CEO of Predibase
  • Norm Zhou, Engineering Manager at Meta AI
  • Goku Mohandas, Founder, Made With ML
  • Patrick HalinaSoftware Architect/Manager ML Engineering, Zynga
  • Alireza DarbehaniMLOps Engineer, BenchSci
  • Vincent ChioData Science Manager, Shopify
  • Jason CarayanniotisCEO – Artinus Consulting Inc.
  • Raphael Taiwo Alabi PhDLead Machine Learning Engr | Cybersecurity, Docusign
  • Saurabh MaratheSenior Machine Learning Engineer, Walmart Inc. (formerly WalmartLabs)
  • Shervin Shahidi, ML Engineer, Roblox
  • Ville TuulosCo-Founder & CEO, Outerbounds
  • Nick PogrebnyakovSenior ML Engineer, Twitter
  • Phoenix Unnayan MajumderHead of Data and Analytics Centre of Excellence, Rogers
  • Ben AshtianiDirector, Data & AI PwC Canada
  • Jérémie ValléeEngineering Manager – ML Infrastructure, Duo Security
  • Mohammad SabriChief MLOps Officer, Rocket Science Development
  • David KanterFounder, 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,
  • Michael Gehmeyr,  Director, Computational Sciences, Biodesix, Inc.
  • Dmitry PetrovCEO & Co-Founder,
  • Suresh Kumar KhemkaHead of Platform Engineering & Infrastructure, Apna
  • Arshad AhmedLead Product Owner, Machine Learning Platform, Lloyd’s Banking Group
  • Shailesh KochharPlatform Architect
  • Andrea RondelliHead of Data Platform, Italiaonline
  • Nakul AroraHead of Data CVML Platform
  • Andrew SridharHead of Product, ML Platforms & Event Exchange, Wayfair
  • Ashkan Amiri, Director, ML R&D, Blackberry
  • Xiuduan FangHead of Platform Integrity Engineering, Snap
  • Vivek MurugesanVice President – ML Engineering, Yubi
  • Guhan VenguswamyHead of Platform Engineering, Jasper AI
  • Svetlana ZavelskayaDirector, BlueOwl LLC