Trace. Eval. Ship: Running AI Agents in production

Anyone can demo an AI agent. Running one in production — where it's traced, evaluated, and trusted at scale — is a different discipline entirely. Join ClickHouse and Women in Tech SG, hosted at the PayPal office in Singapore, for an evening built for the engineers doing exactly that. We'll dig into the unglamorous work that makes agentic systems shippable: tracing every step an agent takes, building evals that catch regressions before your users do, and the real-time data infrastructure that keeps observability fast when traces hit the billions.

Who should come: This one's pitched at a senior audience — AI/ML engineers, data and platform engineers, and technical leads shipping (or scaling) LLM-powered systems in production. If you're past the tutorial stage and deep in the "why did my agent do that" stage, this evening is for you.

📍 Venue: PayPal Office, Singapore 🗓️ Date: Tuesday, October 6, 2026 🕕 Doors open: 6:00 p.m. SGT

🗓️ AGENDA:

:00 PM: Registration, Food & Chitchat 6:30 PM: Welcome and Introductions by Amrita Mishra, Country Director, Women in Tech Singapore 6:40 PM: Talk - Trace. Eval. Ship: Running AI Agents in production by Yisam Lee, Senior Support Engineer @ ClickHouse 7:15 PM: Panel Discussion on "Engineers shipping payments at scale" 7:45 PM: Wrap-up and Networking 🎤 Session Details: Trace. Eval. Ship: Running AI Agents in production Every AI agent in production generates a flood of questions: which prompt version caused that regression? Why did the agent pick the wrong tool? Is the new model actually better, or just different? Yisam tackles these head-on, showing how end-to-end tracing turns agent behavior from a black box into queryable data, how eval pipelines built on real production traces replace gut feel with hard signal, and why the storage layer matters more than most teams expect — with a look at how platforms like Langfuse lean on ClickHouse to keep tracing and evals fast at billions of spans. Expect concrete patterns, real war stories from the support trenches, and a workflow you can apply to your own agents the next morning. Speaker: Yisam Lee, Senior Support Engineer @ ClickHouse

Panel Discussion on "Engineers shipping payments at scale" Panelists:

Heman Daney: Heman is a Senior Software Engineer at PayPal specialising in large-scale systems and global product expansion. He works across multiple product lines to build reliable payment capabilities for new markets. Outside his core engineering work, he also mentors developers and supports Singapore’s tech community through meetups. (Linkedin) Reuben: Reuben is a Mid Level Software Engineer at PayPal with 3 years of experience spanning the fintech industry — from rewards systems to payment processing. Outside of work, he spends his time tinkering with the latest in AI, building AI orchestration systems and autonomous coding agents. With his experience bridging traditional software engineering and emerging AI tooling. (LinkedIn) Sean Hoon: Sean is a Senior Software Engineer at PayPal with six years of experience building scalable, user-focused products. An SMU Information Systems graduate, he specialises in large-scale system design and frontend engineering, and currently works on PayPal’s Buy Now, Pay Later experiences. (LinkedIn) Maryana Hermawan: Senior Software Engineer, PayPal Moderator: Shama Syed, Engineering Manager, PayPal

Seats are limited — register now to lock in your spot. 🚀