Welcome to the AI meetup in New York City, in collaboration with JPMC. Join us for deep dive tech talks on AI, GenAI, LLMs and Agent, hands-on experiences on code labs, workshops, and networking with speakers and fellow developers.

Agenda:
* 5:30pm~6:00pm: Checkin, Food and networking
* 6:00pm~6:10pm: Welcome/community update
* 6:10pm~8:30pm: Tech talks
* 8:30pm: Q&A, Open discussion

Tech Talk: AI - The Tolerance-Based Framework
Speaker: Madona Wambua (Google Developer Expert, Adjunct Lecturer CUNY)
Abstract: As AI tools enter the software development lifecycle, the real challenge isn’t adoption it’s control. Madona presents a practical tolerance-based framework (Logical, Volatility, and Cognitive Tolerance) that helps leaders determine where AI-generated code is low-risk and where it requires strict oversight. Using examples from mobile and backend systems, I illustrate how high-tolerance areas thrive with AI acceleration while low-tolerance zones demand guardrails. Leaders will gain a structured method for evaluating AI output, enforcing reliability through static analysis and architectural boundaries, and scaling AI use without compromising stability or developer trust.

Tech Talk: Can We Rebuild AI's Source of Truth?
Speaker: Dr. Chris Geyer, Founder & CEO, T-Reqs
Abstract: Modern AI systems are built from code, datasets, pre-trained models, packages, cloud storage, and infrastructure—but unlike software, they often lose the history of how they came to be. This talk explores why today's MLOps tooling struggles to provide a single source of truth, introduces two simple systems primitives that can make lineage automatic and objective again, and gives a demo of how runtime observation can capture provenance without code changes or infrastructure lock-in. Talk is for all those building AI systems.

Tech Talk: Agent Evals in Financial Services
Speaker: Chuxin Liu, Vice President at JPMorganChase
Abstract: Financial services teams are shipping AI agents that summarize filings, run analyses, draft client-facing memos, and create decks and reports—work where a wrong number or an out-of-scope answer carries real regulatory, fiduciary, and reputational cost. This talk lays out a practical approach to evaluating those agents, along with the mistakes that quietly derail eval efforts and erode trust in the product.

Speakers/Topics:
Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Sponsors:
We are actively seeking sponsors to support our community. Whether it is by offering venue spaces, providing food/drink, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 20,000+ AI developers in New York or 500K+ worldwide.

Venue:
JPMC, 5 Manhattan West 9th Floor Grandstand Area, 450 W 33rd St, New York, NY 10001

Local and Global AI Community on Discord
Join us on discord for local and global AI tech community:
- Events chat: chat and connect with speakers and global and local attendees;
- Learning AI: events, learning materials, study groups;
- Startups: innovation, projects collaborations, founders/co-founders;
- Jobs and Careers: job openings, post resumes, hiring managers