Join us as we explore
GenAI Engineering: One Line at a Time
At Comet's Annual Convergence Conference
Virtual Event | May 13th -14th, 2025
+ Networking Reception, San Francisco
Days of content
SPEAKERS
ATTENDEES ONLINE
As the industry transitions from traditional machine learning to generative AI, new challenges unique to LLMs are emerging. Convergence 2025 provides a platform to explore these shifts, with sessions on advanced LLM evaluation techniques, the potential of agentic AI, and the responsible use of generative AI. Join us to dive into the complexities of building and deploying LLM-based applications, and connect with others shaping the future of this rapidly evolving field.
ABOUT CONVERGENCE
The fourth edition of Comet’s Convergence Conference on May 13-14, 2025 will navigate GenAI Engineering: One Line at a Time. This two-day virtual event features over 25 expert-led sessions, including in-depth talks, technical panels, and interactive workshops. Connect with our global community at a networking reception in San Francisco. Engage with leading ML developers, data scientists, and industry experts as we address the latest developments in LLM technology and its significant impacts on AI. Be at the forefront of shaping an ethical and advanced AI landscape.
Two Days x Two Talk Tracks
We’re excited to offer two different tracks for Convergence 2025! Choose the track that best fits your interests and experience, or mix and match sessions from each!
Track 1: GenAI Foundations
For those learning how to build reliable GenAI systems,
one line at a time.
Learn the fundamentals of building GenAI systems—from architecture and optimization to debugging and evaluation. This track dives into the mechanics behind reliable LLM-powered apps, with practical, technical talks on RAG, evals, agents, and more.
Track 2: GenAI in Practice
For those looking to go beyond the fundamentals
and into the field.
Explore real-world GenAI applications and learn from the engineers and leaders deploying them as they share how they scale infrastructure, address safety and evaluation challenges, and navigate edge cases and changing regulations.
| Schedule |
Day 1 | Tuesday May 13
12:00PM ET
INTRODUCTION
12:10PM ET
Track 1: GenAI Foundations
Albert Lie – Co-Founder at Forward Labs
12:10PM ET
Track 2: GenAI in Practice
Hugo Bowne-Anderson – Data Science Educator and Vanishing Gradients Host
12:40PM ET
Track 1: GenAI Foundations
12:40PM ET
Track 2: GenAI in Practice
Allegra Guinan – Co-Founder & CTO at Lumiera
1:10PM ET
Track 1: GenAI Foundations
Alex Shershebnev – ML/DevOps Lead at Zencoder
1:10PM ET
Track 2: GenAI in Practice
Carolyn Olsen – VP of Data Science at Clearcover Insurance
1:40PM ET
Track 1: GenAI Foundations
Parker Duckworth – Director of Database Engineering at Weaviate
1:40PM ET
Track 2: GenAI in Practice
Sawan Ruparel – Vice President of Engineering at BCGX
2:10PM ET
15 MIN BREAK
2:25PM ET
Gideon Mendels – CEO at Comet
Shadi Copty – Director, Llama Partner Engineering at Meta
Jeremy Mumford – Lead AI Engineer at Pattern
João Moura – CEO at CrewAI
3:10PM ET
Track 1: GenAI Foundations
Jasleen Singh – Senior Principal Software Engineer at Dell
3:10PM ET
Track 2: GenAI in Practice
Paarth Chothani – Staff Software Engineer at Uber
Xandra Zhu – Machine Learning Engineer at Uber
Jonathan Li – Software Engineer at Uber
3:40PM ET
15 MIN BREAK
3:55PM ET
Track 1: GenAI Foundations
Ram Ganesh – Senior Data Scientist at Mastercard
3:55PM ET
Track 2: GenAI in Practice
Nikhil Kassetty – Senior Software Engineer – AI and Fintech Expert at Intuit
4:25PM ET
Track 2: GenAI in Practice
Kailash Thiyagarajan – Senior Machine Learning Engineer at Apple
4:25PM ET
Track 1: GenAI Foundations
Rajarshi Tarafdar – Senior Software Engineer at JP Morgan Chase
4:55PM ET
DAY 1 WRAP UP
Day 2 | Wednesday May 14
12:00PM ET
INTRODUCTION
12:05PM ET
Vince Koc – Lead AI Research Engineer at Comet
Claire Longo – Lead AI Research Engineer at Comet
1:35PM ET
15 MIN BREAK
1:50PM ET
Doug Blank – Head of Research at Comet
3:20PM ET
15 MIN BREAK
3:35PM ET
Leonardo Gonzalez – VP of AI Center of Excellence at Trilogy
4:45PM ET
DAY 2 WRAP UP
Some Topics Covered
Federated Machine Learning
AI Governance
Diffusion Models
Scalability and LLMOps
LLM Security
Vector Databases/Search
LLMs in Production
Vision Transformers
Multilingual LLMs
Model Pruning & Distillation
WHY ATTEND CONVERGENCE?
Attending Convergence is the perfect opportunity to be at the forefront of GenAI Engineering. For ML professionals, this annual conference offers a deep dive into the technical intricacies of LLMs, equipping you with the latest tools and methods in prompt engineering and LLM evaluation. Software Engineers entering the field will find accessible sessions that provide the foundational knowledge necessary to start building and deploying generative AI applications effectively. It’s an essential platform for those looking to enhance their expertise, keep pace with rapid advancements in AI, and contribute to the ethical development of new AI technologies.
Register for
Convergence 2025
Brought to you by
