NuSession is Nu’s premier technical event series, where senior leaders break down how large-scale production systems are architected and operated to support 135 million users across Brazil, Mexico, and Colombia.

In this Silicon Valley edition, Nu’s AI Core team, the centralized AI research and engineering organization, will pull back the curtain on how machine learning systems are operationalized at scale. The speakers will bypass surface-level concepts to dive deep into real production code, infrastructure trade-offs, and architectural constraints. Designed to be intimate and conversational, the evening prioritizes deep technical dialogue, peer connection, and high-density networking.

The session will cover:

• The infrastructure, data engineering, backend orchestration, and intelligence layer behind production-grade systems;
• Spanning predictive models trained on proprietary financial data;
• Autonomous agentic tool-calling pipelines;
• Custom simulation environments used for offline policy evaluation.

Who should attend:
This event is curated for ML Engineers, Senior Software Engineers, Tech Leads, and Systems Architects with a minimum of 5+ years of hands-on experience in core ML systems, large-scale backend, or distributed infrastructure. The session is specifically tailored for practitioners focused on model optimization, training efficiency, high-throughput cloud architecture, and the data pipelines required to deploy and orchestrate predictive and generative frameworks at scale. This space is designed for seasoned builders looking for deep architectural discussions on AI systems and peer-to-peer networking rather than surface-level product pitches.

Agenda:
* 5:00 PM – Welcome Reception & Networking (Food and soft drinks served)
* 5:30 PM – Opening Remarks/Intro
* 5:40 PM – Tech Talk 1, by Aman Gupta (AI Core, Nu)
* 6:10 PM – Tech Talk 2: Effective quantization of Muon optimizer states, by Shao Tang (AI Core, Nu)
* 6:40 PM – Panel Discussion + Audience Q&A
* 7:30 PM – Happy Hour & Open Mixer (Beer, wine, and refreshments)
* 8:30 PM – Event Conclusion

Speakers:

Aman Gupta

Principal ML Engineer at Nu

Shao Tang

Senior Staff ML Engineer at Nu

Rohan Ramanath

General Manager of the AI division at Nu

Venue:
SVAI Hub, 135 Constitution Drive, Menlo Park, CA 94025

About Nu
Nu is one of the largest digital financial services platforms in the world, serving 135 million customers across Brazil, Mexico, and Colombia. At the core of its technology infrastructure is AI Core, the centralized organization responsible for developing and operationalizing production machine learning systems that handle high-throughput data and systems orchestration for millions of users.
The team works across predictive modeling on proprietary financial sequences, high-performance generative infrastructure for multi-step backend tool-calling, and core systems research. AI Core maintains a vertically integrated platform covering everything from data ingestion to low-latency distributed training and production model serving.
Our technical breakthroughs and peer-reviewed infrastructure research are regularly published at top-tier global venues. This includes pioneering work on training optimization at ICLR 2026, and cutting-edge production frameworks at KDD 2026. The team shares real production architectures, implementation insights, and infrastructure trade-offs directly through the Nu AI Research Blog.