Renaissance Austin Hotel, 9721 Arboretum Boulevard, Austin, 78759

GDG Austin

MLOps / Gen AI World is a unique collaborative event for the ML/Gen AI community of over 20,000 ML researchers, engineers, scientists, and entrepreneurs across several disciplines.

Taken from the real-life experiences of practitioners, the Steering Committee has selected the top applications, achievements, and knowledge-areas to highlight across the event!

Oct 8, 2025 at 8:30 AM – Oct 9, 2024 at 4:00 PM (CST)

About the Event

MLOps World & GenAI World is an international community group of practitioners working to advance the science of deploying not only ML models but also agents and agentic workflows into live production environments.

We explore everything, technical and non-technical, that goes into making these systems reliable and effective.

Created by the Toronto Machine Learning Society (TMLS), this initiative unites the wider AI ecosystem: companies, practitioners, academics, and open-source contributors. Our goal is to accelerate the safe, responsible, and scalable adoption of AI and agents in production.

With an explorative approach, our initiatives address the needs of a community of over 18,000+ ML and AI practitioners, researchers, professionals, entrepreneurs, and engineers. We’re here to empower members, propel productionized AI, and shape the next generation of agent-driven systems.

What to Expect

40+ senior speakers from leading companies across AI, ML, and infrastructure
2 full days of curated talks + hands-on workshops (1.5–3 hours each)

Dedicated tracks including:

• AI Agents for Developer Productivity

• AI Agents for Model Validation and Deployments

• Augmenting Agentic Workforces

• Agents in Production

• Latest Trends in MLOps

• Governance, Auditability & Model Risk Management

• MLOps for Smaller Teams

• ML Lifecycle Security

• ML Training Lifecycle

• Scoping and Delivering Complex AI Projects

• LLMs on Kubernetes

• ML Deployments on Prem

• LLM Observability

• Data Engineering in an LLM Era

• Inference Optimization & Scaling

• Multimodal Systems in Production

Outdoor networking & social events unique to Austin
800+ participants from across North America and beyond

Topics to Be Covered:

1. Agent Name Service (ANS) in Action — A DNS-like Trust Layer for Secure, Scalable AI-Agent Deployments on Kubernetes

2. Why is ML on Kubernetes Hard? Defining How ML and Software Diverge

3. What’s Next in the Agent Stack

4. Productizing Generative AI at Google Scale: Lessons on Scoping and Delivering AI Powered Editors

5. Build Reliable AI apps with Observability, Validations and Evaluations

6. From Static IVRs to Agentic Voice AI: Building Real-Time Intelligent Conversations

7. Humans in the Loop: Designing Trustworthy AI Through Embedded Research

8. Building and Evaluating Agents

9. Agent Drift: Understanding and Managing AI Agent Performance Degradation in Production

10. How Math-Driven Thinking Builds Smarter Agentic Systems

11. Code-Guided Agents for Legacy System Modernization

SO MUCH MORE!

LEARN:

• Workshop: Context Engineering: An Introduction

• Panel: Taming Rogue AI Agents with Observability-Driven Evaluation

• Workshop: Building Conversational AI Agents with Thread-Level Eval Metrics

• Workshop: How to Build and Evaluate Agentic AI Workflows with FloTorch

• Workshop: From Zero to One: Building AI Agents from the Ground Up

• SO MUCH MORE!!

The MLOps World 2025 Steering Committee & Track Leads

• Adam Probst, CEO, ZenML

• Akshay Nair, Staff Software Engineer, PayPal

• Alok Ranjan, Software Engineering Manager, Dropbox

• Alok Shankar, Senior Engineering Manager, Adobe

• Dr. Paras Tiwari, Staff Machine Learning Engineer, Apple

• Gowtham Sadasivam, Co-Founder & CTO, Labelbase AI

• Hien Luu, Senior Engineering Manager, ML Platform, Doordash

• Jineet Doshi, Staff Machine Learning Engineer, AI Lead, Intuit

• Karthik Kuber, Engg Manager, Yelp

• Michael Wharton, VP of Engineering, KUNGFU.AI

• Mukesh Mishra, Lead Engineer, Adobe

• Niyati Spottit, ML Lead, Google

• Pragnesh Murugesan, Senior Machine Learning Engineer, Meta

• Rahul Raju, Staff Engineer, LinkedIn

• Raphael Taiwo Alabi, Engineering Manager and Principal AI Scientist

• Saurabh Marathe, Senior Manager, Walmart

• Shariyar Murtaza, AVP Data Science, Manulife Financial

• Sri Raghul Mairaj, Machine Learning Engineer, Grammarly

• Tejas Chopra, Senior Engineer, Netflix

• Thiagarajan Ramakrishnan, Machine Learning Architect, AMD

• Vincent Chio, Data Science Manager, Shopify

• Hugo bowne-anderson, Independent Data and AI Scientist

• Yamini Krukesh, Business Engineer, Replit

IMPORTANT NOTE: This is an in-person and PAID event in Austin, TX. Virtual attendance options will also be available. If you would like to join, you’ll need to buy a ticket from the official event website here: mlopsworld.com.  - FREE options also available (use code GDG250 for 250$ off all ticket types)

WE HAVE A DISCOUNT ON TICKETS FOR GDG AUSTIN! (In-person attendees only!)

Note: there are also free virtual day session passes here - PLEASE NOTE THE DAY/TIME CHANGES IF YOU'RE ATTENDING VIRTUALLY