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Agenga

MAY 13th - 15th

Keynotes



Regina Barzilay, PhD, Distinguished Professor, AI and Health at MIT

Keynote: Rethinking Healthcare with AI: Solving Old Mysteries with Modern Tools 



Kanchana Patlolla, Product Manager - Agent Garden at Google Cloud

Keynote: Solving the Intelligent Agent Puzzle: From Development Hurdles to Collaborative Solutions



Doug Freud, Vice President AI & ML at SAP

Keynote: AI and the Agentic Future: Powering the Next Wave of Enterprise Innovation 



Arvind Narayanan, PhD, Professor at Princeton University

Keynote: AI Agents: Taking Stock and Looking Ahead 



J. Doyne Farmer, PhD, Professor of Complex Systems Science at the University of Oxford

Keynote: AI and Agent Based Models in Economics



Eric Xing, PhD, Professor | President at CMU | MBZUAI

Keynote: Toward General and Purposeful Reasoning in Real World Beyond Lingual Intelligence



Maxime Labonne, PhD, Head of Post-Training at Liquid AI

Keynote: Introduction to LLM Post-Training

Machine Learning



Michael Galarnyk, Learning Instructor | PhD Student at Linkedin | Georgia Tech

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



Freddy BoultonSoftware Engineer at Hugging Face

Hands-on Workshop: Unlock the Future of AI: Real-Time Voice & Video



Carlos TrujilloPrincipal Data Scientist at Wise

Talk: Bridging Causal thinking and Media Mix Modeling



Michelle YiBoard Member at Women In Data

Talk: Introduction to Adversarial Attack and Defense



Sonam SaxenaProduct Manager at Meta

Talk: Boosting Experimentation Throughput & Efficiency



Guy Korland, PhDCEO & Co-founder of FalkorDB

Talk: Graph Databases for ML: An Insider's Perspective



Ryan O'Neil, PhDCTO of Nextmv

Talk: Predict & Prescribe: Combining Forecasts with Optimized Plans



David Hoyle, PhDResearch Data Science Specialist at dunnhumby

Hands-on Workshop: Introduction to Math for Data Science




AI Agents



Chi Wang, PhDFounder of AutoGen (Now AG2) | Senior Staff Research Scientist  at Google DeepMind

Tutorial: Build with AG2: Open-Source AgentOS



Apoorva JoshiSenior AI Developer Advocate at MongoDB

Tutorial: The A to Z of Building AI Agents



Chris AlexiukCo-Founder & CTO | DL at AI Makerspace | NVIDIA

Hands-on Workshop: Session Title Coming Soon



Martin MusiolFounder, CEO at GenerativeAI.net

Hands-on Workshop: The Age of AI Agents and Product Development



Atul Kulkarni, Engineering Manager at Amazon

Hands-on Workshop: : From Concept to Creation: Building Advanced AI Applications with LLM’s and AI Agents



Lakshmithejaswi Narasannagari, Software Engineer at ICE/NYSE

Hands-on Workshop: : From Concept to Creation: Building Advanced AI Applications with LLM’s and AI Agents



LLMs / LLMs&RAG / LLMOPs& MLOPs



Valentina AltoTechnical Architect, AI & App at Microsoft

Hands-on Workshop: Getting Started with Multi-Agents applications



Sanyam BhutaniPartner Engineer at Meta

Training: Session Title Coming Soon



Hugo Bowne-Anderson, PhDIndependent Data and AI Consultant    

Hands-on Workshop: Building LLM-Powered Applications for Data Scientists and Software Engineers



Abi AryanFounder of Abide AI

Hands-on Workshop: Debugging and Monitoring LLMs in Production



Paul IusztinSenior AI Engineer / Founder of Decoding ML

Hands-on Workshop:  LLM & RAG Evaluation Playbook for Production Apps



Rami KrispinSenior Manager - Data Science and Engineering at Apple

Hands-on Workshop: Using LLM to Query Data



AND MORE... 



Ivan Lourenço GomesFront-End Engineer & Technology Instructor at Daweb Schools

Tutorial: Mastering DeepSeek V3 & R1: Advanced Prompt Engineering & AI Automation



Joshua BrindleyManager: Corporate & Commercial Analytics at GEMS Education

Tutorial: Unlocking the Power of Data Storytelling: Turning Insights into Impact



Brian Kulis, PhDAssociate Professor at Boston University

Hands-on Workshop: Introduction to Deep Learning



Jay SenDirector, Data Engineering at PayPal

Hands-on Workshop: Session Title coming Soon! 



Michael PlatzerCo-Founder & CTO at MOSTLY AI

Hands-on Workshop: Filling Data Gaps with the Synthetic Data SDK



Jun HeStaff Software Engineer at Netflix

Tutorial: Maestro: Netflix’s Data/ML Workflow Orchestrator



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