MLOps / GenAI 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
Topics to Be Covered:
1. Bridging ML Infrastructure/Platform Work to Company Product Impact (Committee pain point)
2. Stakeholder Business Alignment for AI Applications (Committee pain point)
3. Stakeholder Trust in Model Results (Committee pain point)
4. Finding an Easy Way to Connect ML Infrastructure/Platform Work to Company Product Impact (Committee pain point)
5. AI/GenAI Strategy and Product Development (Committee area of interest)
6. Supporting Women and Underrepresented Groups and Promoting Diversity in ML Teams (Committee area of interest)
7. Leadership Challenges in the ML World (Committee area of interest)
8. Managing Employee Adoption of AI Tools (Committee area of interest)
9. Increasing Team Efficiencies and Effectiveness Using LLMs Internally (Committee area of interest)
10. Ensuring AI Safety in Production Environments (Committee area of interest)
+ SO MUCH MORE!
LEARN:
- Workshop: Building GenAI-Powered Apps: A Workshop for Software Engineers
- Workshop: Building AI Applications as a Developer
- Workshop: Building Agentic and Multi-Agent Systems with LangGraph pt. 1 & 2
- Workshop: A Data Scientist Guide to Unit & End to End Testing
- Workshop: Partner Workshop Session: Building a Multimodal RAG: A Step-by-Step Guide
- Workshop: Hands-on Scalable Edge-to-Core ML Pipelines
- Everything You Need to Know about Fine-Tuning
- Lessons Learned from Implementing GenAI at Large Enterprises
- MLOps Journey from Toyota, Intuit, Mastercard, JP Morgan, Roche
- SO MUCH MORE!!
The MLOps World 2022-2024 Steering Committee
- Suhas Pai, Co-Founder & CTO at Hudson Labs
- Norm Zhou, Engineering Manager at Meta AI
- Wenjie Zi, Senior Research Engineer at Borealis AI
- Ben Ashtiani, Director, Data & AI PwC Canada
- Raphael Taiwo Alabi PhD, Lead Machine Learning Engineer & Cybersecurity, Docusign
- Nick Pogrebnyakov, Sr. ML Engineer, Twitter
- Shervin Shahidi, ML Engineer, Roblox
- Alireza Darbehani, MLOps EngineeR, BenchSci
- Saurabh Marathe, Senior Machine Learning Engineer, Walmart Inc. (formerly WalmartLabs)
- Nadia Rauch, PhD, Engineering Manager, Machine Learning and Data Engineering, Nylas
- Hien Luu, Sr. Engineering Manager – Head of ML Platform, Doordash
- Jason Carayanniotis, CEO, Artinus Consulting Inc.
- Neeraj Madan, Data Science Leaderr, IBM
- Vincent Chio, Data Science Manager, Shopify
- Eduardo Apolinario, OSS team Engineering manager / Union.ai
- Michael Gehmeyr, Director Computational Sciences, Biodesix, Inc.
- 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
- Patrick Halina, Manager, Pinterest
- 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
- Alex Preciado, Quantum Software Development Manager at Xanadu
- Andreea Munteanu, AI/ML Product Manager
- Reza Abasi, Senior Software Engineer, ML at Benson Hill
- Murali Bhogavalli, Head of Product, Data Platform
- Grant Nicholson, Data Platform Engineer
- Nalin Dadhich, Senior Software Engineer, NVIDIA
- Balaji Dhamodharan, Sr Principal Data Scientist
- Tejas Chopra, Netflix
- Alok Ranjan, Engineering Manager, Dropbox
- Pratibha Rathore, Tech Lead AI/ML, Meta
- Indrani Gorti, Head of Data and AI, Affinity
- Yogananda Domlur Seetharama, Director of Data Science, Walmart Global Tech
- Peeyush Agarwal, Staff Software Engineer, Meta
- Natesh Babu Arunachalam, Director of Data Science, Mastercard
- Arshad Ahmed, Lead Product Owner, Machine Learning Platform, Lloyd’s Banking Group
- Denys Linkov, Head of ML, Voiceflow
- Arman Didandeh, Global Senior Director, Data & ML Systems, Monks
- Iryna Skrypnyk, VP of Data Science and AI, Nexus Cognitive
- Hugo Bowne-Anderson, Independent Data and AI Scientist
- Hashiam Kadhim, AI Lead, Block Inc.
***IMPORTANT NOTE: This is an in-person and paid event in Austin, TX. They do have virtual attendance options as well. If you would like to join, you'll need to buy a ticket off the event website here.
WE GET A DISCOUNT ON TICKETS FOR GDG AUSTIN!! (In-person attendees only!)
The link should have the code applied already, however if you're not seeing $150 off applied in the top left corner of the web page, please use the code "GDGAUSTIN150" to receive your exclusive offer at the checkout window. This code is only redeemable for in-person attendees and not applicable if you're buying a virtual ticket.
