Amsterdam JUG Meetup at ING

About this event

Join in with the latest Amsterdam JUG Meetup at ING, Bijlmerdreef 106, 1102 CT Amsterdam (https://maps.app.goo.gl/suogmtK4m4qpu4o38). Agenda: 17:30: Doors open (and food) 18:00 - 18:45 - Talk 1: "When Silence Becomes a Security Vulnerability" -- Sarah Gruneisen (https://www.linkedin.com/in/sgruneisen/) 18:45 - 19:30 - Talk 2: "AI in Java for the Financial Industry" -- Zoran Sevarac (https://www.linkedin.com/in/zoran-sevarac-phd-49a9a411/) 19:30 - 20:15 - Talk 3: "Building Durable AI Workflows for Regulated Work" -- Hossein Kazemi (https://www.linkedin.com/in/hossein-kazemi/) 20:15 - 21:00 - Talk 4: "The LLM Pipeline That Survived Two Years in Production" -- Iudzhin Uord (https://www.linkedin.com/in/eugeek/) Abstracts: Talk 1: "When Silence Becomes a Security Vulnerability" -- Sarah Gruneisen (https://www.linkedin.com/in/sgruneisen/) Security conversations often begin with technical controls: secure pipelines, dependency scanning, credentials, guardrails, monitoring, and incident response. But a vulnerability may emerge long before any tool can detect it, in the moment someone notices a weak signal and decides that speaking feels too dangerous. Drawing on more than two decades in software engineering and engineering leadership, Sarah Gruneisen explores the human conditions that determine whether critical information reaches the system at all. She introduces a five-layer security model built from the foundation upward: 1. Human safety 2. Courageous communication 3. Technical controls 4. Detection, response, and recovery 5. Learning and governance Through stories, practical examples, and insights from leadership psychology, Sarah reveals how hierarchy, fear, belonging, nervous-system responses, and team culture shape security outcomes. This session does not replace technical security expertise. It exposes what technical controls depend upon: people who can question assumptions, disclose mistakes, challenge authority, and say, “I think we missed something,” before a weak signal becomes an incident. Participants will leave with a practical framework for helping truth travel through their teams and for making human safety part of the security architecture. Talk 2: "AI in Java for the Financial Industry" -- Zoran Sevarac (https://www.linkedin.com/in/zoran-sevarac-phd-49a9a411/) Java runs much of the financial industry, and it's increasingly where AI belongs too. Fraud detection, risk scoring and real-time decisions need models that are accurate, but also fast, predictable, secure and easy to plug into existing systems. Continuing the conversation from the recent Amsterdam JUG meetup at Mollie, this session shows how modern Java handles AI workloads without leaving the JVM. We'll cover GPU acceleration with the Foreign Function & Memory API, CPU optimization with the Vector API, and running models efficiently in production. Using a fraud detection example, we'll look at how teams can build high-throughput, low-latency AI on the Java skills and infrastructure they already have. Talk 3: "Building Durable AI Workflows for Regulated Work" -- Hossein Kazemi (https://www.linkedin.com/in/hossein-kazemi/) AI demonstrations follow the happy path. Production systems cannot. Model providers time out, tools fail, processes restart, people take days to respond, and the application changes while work is still in progress. This talk treats AI workflows as long-running distributed systems. The running example is an AI-assisted client intake and suitability review for a wealth-management firm: the system gathers what it needs from an advisor, applies a versioned set of regulatory rules, each traceable to the article it rests on, drafts an explanation, checks that explanation against the evidence, and waits for a human to approve it. Along the way, we will fail a model call and watch it retry, stop the process mid-review and resume without losing completed work, pause for a decision that arrives days later, and inspect the full execu