Data Infrastructure for Self Improving Agents
Hosted by Engineering AI Reading Group + Andrew Siah
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What to look forward to
Jacopo Tagliabue, AI leader, NYU ML Systems instructor, and Bauplan CTO, will discuss his paper *Skill Issues* and explore RL environments, self-improving agentic systems, and verification. The conversation will draw on his experience building AI and data systems from startup to IPO.
Inside the event
Jacopo Tagliabue, joins us to share about his new paper, Skill Issues, and discuss topics like RL Environments, Self Improving Agentic Systems, and Verification.
Jacopo has spent his career building AI and data systems from startup scale to IPO, including co-founding Tooso, leading AI at Coveo, and now teaching ML Systems at NYU.
He’s now CTO of Bauplan, an agentic data infrastructure company bringing Git-like branching, reproducibility, and serverless execution to the data pipelines behind modern AI. (Jacopo Tagliabue
For technical engineers + researchers exploring the frontier of agents capability and use.
Unfortunately we have limited capacity, please RSVP accurately.
San Francisco, CA
Venue listed by the organizer · San Francisco, CA. Confirm the final address before traveling.
Open in Google Maps ↗Discovered through Cerebral Valley. Details come from the event listing and the organizer page; registration is managed by the organizer.
Last checked: Oct 27, 2026. Confirm current availability before making plans.
Organizer page checked: Oct 27, 2026. Check registration for the latest details.