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Agenga

Keynotes



Lora Aroyo, PhD, Senior Research Scientist at Google DeepMind

Keynote: Embracing Real-World Pluralism: Moving beyond "gold standard" truth in AI evaluation


Rada Mihalcea, PhD, Professor | Co-founder at University of Michigan | Initium AI

Keynote: From Human Simulations to Work Companions: AI Agents and the Future of Human-AI Collaborative Intelligence

Machine Learning



Michael Galarnyk, Learning Instructor | Graduate Research Assistant | Georgia Institute of Technology

Hands-on Training: Building Machine Learning Models with Scikit-Learn: A Practical Introduction


Mike Cisneros, Data storyteller at storytelling with data

Hands-on Workshop: Become the Data Whisperer: How to Spot (and Solve) Common Graphing Mistakes


David Hoyle, PhD, Research Data Science Specialist at dunnhumby

Hands-on Training: Introduction to Math for Data Science


Dr. Andre Franca, CTO at Ergodic

Hands-on Workshop: Become the Data Whisperer: How to Spot (and Solve) Common Graphing Mistakes


Agentic AI



Sergio Paniego Blanco, Machine Learning Engineer at Hugging Face

Hands-on Training: Intro to Agents Using Smolagents


Dr. Beju Rao, Entrepreneur, Executive, Board Member, Data Scientist, AI Researcher, and Educator |  Amruta, Inc

Hands-on Workshop: AI Engineering Framework for Scalable Impact


Ori Goshen, Co-founder and Co-CEO at AI21 Labs

Talk: Why is it so Damn hard to Build Agents?


Soheil Koushan, Member of Technical Staff at Anthropic

Talk: Context Management for Claude


Robert Brennan, CEO at All Hands AI

Talk: Automating Massive Refactors with Parallel Agents


Paige Bailey, DevRel Lead, GenAI at Google

Hands-on Workshop: How to Build and Deploy Agentic Systems


Greg Loughnane, Co-Founder & CEO at AI Makerspace

Hands-on Training: Context Engineering: A State-of-the-Art Overview


Chris Alexiuk, Co-Founder & CTO | DL, AI Makerspace | NVIDIA

Hands-on Training: Context Engineering: A State-of-the-Art Overview


Benjamin Labaschin, Principal Machine Learning Engineer at Workhelix

Hands-on Workshop: Building Stateful AI Agents: Memory Management and Optimization with LangGraph and Redis

LLMs, GenAI, RAG



Maarten Grootendorst, Lead Data Scientist at Netherlands Comprehensive Cancer Organisation

Talk: A Visual Guide to AI Agents


Rajiv Shah, PhD, Chief Evangelist at  Contextual AI

Hands-on Workshop: Beyond Benchmarks: Hill Climbing Your Way to Production-Ready LLM Systems


Sara Zanzottera, Senior Developer at BNP Paribas

Talk: LLMs that think - Demystifying Reasoning Models


Mingxuan Zhao, Developer Advocate at IBM

Hands-on Workshop: Complex Data Ingestion with Open Source AI


Kenten Danas, Senior Manager of Developer Relations at Astronomer

Hands-on Workshop: Orchestrating Workflows for GenAI Applications with Apache Airflow


Clem Bonnet, Member of Technical Staff  at Ndea

Hands-on Workshop: Beyond LLMs: Exploring Program Synthesis for ARC-AGI and Abstract Reasoning


Abi Aryan, Founder at Abide AI

Talk: How to LLMOps your GPU Systems?


Leonardo De Marchi, VP of Labs at Thomson Reuters

Talk: Modern AI Strategy: Navigating Innovation, Ethics, and Enterprise Impact


Jiaxi Zhu, Head of Analytics at Google

Talk: Reimagining B2B Sales Strategy in the GenAI Era

AND MORE



Ivan Lourenço Gomes, Front-End Engineer & Technology Instructor at Daweb Schools

Tutorial: Vibe Coding & The Future of Software Development


Adrian Brudaru, Co-Founder at dltHub

Hands-on Workshop: Production-Ready Data Ingestion for Recovering Pandas Users


Ram Pedapatnam, Staff Software Engineer at Walmart

Talk: Where is my event? Patterns for Building Scalable Event-driven Applications


Jean-Georges Perrin, Author ""Implementing Data Mesh"" (O'Reilly); Chair of the Technical Steering Committee (TSC)  at Bitol; Senior Product Manager at Actian

Talk: Data Products 101: From Data Chaos to Clarity — A Story of Trust, Reuse, and Scale


Martino Russi, Embodied Robotics Engineer at Hugging Face

Talk: Open-Source Robotics: Advances in Teleoperation for Dexterous Manipulation


Ryan Day, Advanced Data Scientist    

Talk: Using APIs in Data Science Without Breaking Anything

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