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28-29, August 2025
Amsterdam, Netherlands
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Note: The schedule is subject to change.

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IMPORTANT NOTE: Timing of sessions and room locations are subject to change.

Venue: G104 clear filter
Thursday, August 28
 

11:15 CEST

Trust but Verify: Lessons Learned Building an SRE AI Agent - Sebastian Stadil, Scalr
Thursday August 28, 2025 11:15 - 11:40 CEST
The allure of AI automating complex infrastructure management on AWS, Azure, and GCP is strong. Promises of self-healing systems, predictive scaling, and optimized resource utilization abound. However, the core principles of Site Reliability Engineering – prioritizing stability, reliability, and predictability – clash with the "black box" nature and potential unpredictability of AI. This session dives into the SRE perspective, exploring the inherent risks of letting current AI models directly manage production Kubernetes clusters and cloud resources. We'll outline the non-negotiable safeguards, controls, and observability required before SREs can cautiously embrace AI, moving from hype to hardened reality. Learn practical approaches like GitOps integration, policy enforcement, human-in-the-loop validation, and robust monitoring needed to bridge the gap between AI's potential and production safety.
Speakers
avatar for Sebastian Stadil

Sebastian Stadil

Cofounder, Scalr
Scalr founder
Thursday August 28, 2025 11:15 - 11:40 CEST
G104

11:50 CEST

AGENTS OF S.E.A.L.E.D: AI Agentic Cybersecurity Framework - Krishnendu Dasgupta, AXONVERTEX AI
Thursday August 28, 2025 11:50 - 12:15 CEST
Speakers
avatar for Krishnendu Dasgupta

Krishnendu Dasgupta

Founder, Independent AI Researcher, AXONVERTEX AI
Krishnendu Dasgupta is an engineer with 14+ years in applied Machine Learning . His interests span across healthcare, generative AI, and decentralized AI. He is currently applying AI innovation in clinical trials, graph ML, NLP, and privacy-preserving AI. A Stanford Code in Place... Read More →
Thursday August 28, 2025 11:50 - 12:15 CEST
G104

13:35 CEST

EVE: An Open Source Earth Science LLM for Researchers, Policymakers, and the Public - Àlex R. Atrio, Vijayasri Iyer & Antonio Lopez, Pi School
Thursday August 28, 2025 13:35 - 14:00 CEST
EVE (Earth Virtual Expert) is an open-source domain-specific large language model designed to democratize access to Earth Observation (EO) and Earth Science (ES) knowledge. Backed by the European Space Agency and developed by Pi School and Imperative Space, EVE bridges AI and EO through domain-adaptive pre-training, instruction tuning, and Retrieval-Augmented Generation. It supports multiple user groups—from scientists and students to journalists and decision-makers—by enabling factual, source-grounded, and explainable interactions with EO content. This talk outlines EVE’s training pipeline, data compliance approach, performance benchmarks, and open-source contributions, including models, datasets, and legal compliance guides. We'll also share lessons from human evaluations, infrastructure challenges, and our roadmap toward an EO digital assistant.
Speakers
avatar for Àlex R. Atrio

Àlex R. Atrio

Senior Deep Learning Scientist, Pi School 
Àlex R. Atrio is a Senior Deep Learning Scientist at Pi School in Rome, leading development on EVE, an open-source LLM for Earth Observation and Earth Science in collaboration with ESA’s Φ-lab. He holds a PhD in Machine Translation from EPFL/HEIG-VD and has a background in NLP... Read More →
avatar for Antonio Lopez

Antonio Lopez

Deep Learning Scientist, Pi School
Antonio Lopez is a passionate developer with a Master's degree in Artificial Intelligence from the University of Bologna, specializing in Computer Vision and Natural Language Processing. 
avatar for Vijayasri Iyer

Vijayasri Iyer

Machine Learning Scientist, Pi School Srl
Vijayasri Iyer is a Machine Learning Scientist at Pi School, where she has led multiple international teams in developing Generative AI solutions. She holds a Bachelor’s degree in IT, Master’s in AI and certifications in Technology Policy and AI Safety.
Thursday August 28, 2025 13:35 - 14:00 CEST
G104

14:10 CEST

Turning Emissions Data Into Climate Actions With CityCatalyst - Mirco Rudolph, OpenEarth Foundation
Thursday August 28, 2025 14:10 - 14:35 CEST
Cities are responsible for over 70% of global greenhouse gas (GHG) emissions, yet only 5% have GHG inventories in place. CityCatalyst is an open-source platform created to close this gap by helping cities build GHG inventories aligned with the international GPC Protocol and receive AI-powered recommendations for mitigation and adaptation actions based on their urban profile, climate risks, and emissions data.
Speakers
avatar for Mirco Rudolph

Mirco Rudolph

AI Engineer, OpenEarth Foundation
Mirco Rudolph is an AI Applications Engineer at the OpenEarth Foundation, contributing to CityCatalyst, an open-source platform that helps cities build Greenhouse Gas inventories and prioritize climate actions using ML models and LLMs. With a diverse interdisciplinary background in... Read More →
Thursday August 28, 2025 14:10 - 14:35 CEST
G104

14:45 CEST

Lightning Talk: From Zero To 10 Million Vectors: A Cloud Native Journey for Production RAG - Adeel Amin, Techwards
Thursday August 28, 2025 14:45 - 14:55 CEST
Unlock the secrets to scaling production RAG! This case study dives into our successful deployment of a low-latency RAG chatbot built on Milvus, handling over 10 million vector records. Discover how we managed a 12-18 node Kubernetes cluster powered by cost-effective AWS Graviton CPUs and aggressively used Spot Instances to stay within budget while achieving high accuracy.
Speakers
avatar for Adeel Amin

Adeel Amin

Software Engineering Manager, Techwards
Have more than a decade of experience in leading cloud infrastructure of various SaaS applications. Currently serving as an Engineering Manager in software consultancy firm.
Thursday August 28, 2025 14:45 - 14:55 CEST
G104

15:00 CEST

Lightning Talk: Trallie: Shaping Unstructured Data Into Valuable Information - Vijayasri Iyer & Cristiano De Nobili, Pi School
Thursday August 28, 2025 15:00 - 15:10 CEST
Trallie is an open-source framework backed by the NGI Search Consortium that leverages the power of large language models (LLMs) to reimagine information extraction (IE) with or without user guidelines. Instead of relying on labelled examples or copious amounts of training on your data collection, Trallie requires very few or no representative examples of the data to convert into a structured format. It has three core objectives:
Speakers
avatar for Cristiano De Nobili

Cristiano De Nobili

Lead AI Scientist, Pi School
Cristiano is a Theoretical Physicist with a PhD in Quantum Information Theory from SISSA, Italy. With 10 years of experience in Deep Learning and AI, he is currently the Lead AI Scientist at Pi School and Tech Lead of two ESA grants. He is a lecturer in Deep Learning at the MHPC (ICTP/SISSA... Read More →
avatar for Vijayasri Iyer

Vijayasri Iyer

Machine Learning Scientist, Pi School Srl
Vijayasri Iyer is a Machine Learning Scientist at Pi School, where she has led multiple international teams in developing Generative AI solutions. She holds a Bachelor’s degree in IT, Master’s in AI and certifications in Technology Policy and AI Safety.
Thursday August 28, 2025 15:00 - 15:10 CEST
G104

15:40 CEST

Lightning Talk: Beyond the Model: Building Efficient Generative AI Pipelines at Scale - Shashidhar Shenoy, Google & Achyut Sarma Boggaram, Torc Robotics
Thursday August 28, 2025 15:40 - 15:50 CEST
Generative AI workloads have introduced a new class of infrastructure challenges—massive model sizes, unpredictable bursty inference, tight latency budgets, and soaring GPU costs. While teams invest heavily in model compression and distillation, they often overlook the other half of the equation: the ML pipeline.
Speakers
avatar for Shashidhar Shenoy

Shashidhar Shenoy

Senior Software Engineer, Google
Shashidhar Shenoy is a software engineer and technical leader specializing in distributed systems, AI/ML infrastructure, and scalable authentication platforms. With over a decade of experience, he has led high-impact projects, including optimizing cloud infrastructure for AI/ML workloads... Read More →
avatar for Achyut Sarma Boggaram

Achyut Sarma Boggaram

Sr. Machine Learning Engineer (Tech Lead), Torc Robotics
As a Sr. Machine Learning Engineer at Torc Robotics, I am building critical ML infrastructure for the L4 self-driving class-8 trucks, paving the way for safer transportation of freight.
Thursday August 28, 2025 15:40 - 15:50 CEST
G104

15:55 CEST

Lightning Talk: AI Agents for Multiprovider Cloud Edge Continuum - Gentiana Canga, Reply SpA
Thursday August 28, 2025 15:55 - 16:05 CEST
In our talk, we present a practical use-case within the 8RA (https://www.8ra.com/) program, the IPCEI covering Cloud and Infrastructure Services (CIS), built on top open-source software. Our use-case exploits both ML and GenAI to support scenarios within Multi-Provider Cloud Edge Continuum, cloud infrastructure federation, automated service request and allocation of applications to edge sites properly selected. We design an architecture whose core is a set of AI agents, which collaborate to accomplish different tasks, ranging from application deployment file generation up to site prediction for application deployment, according to service requests taken as input by users in natural language. Specifically, our architecture currently includes several agents: LANE (Language-to-Action Neural Engine), responsible for processing user requests expressed in natural Language; Placement, providing the optimal edge site recommendation for each application, ensuring maximum energy efficiency once deployed. It leverages an AI-driven approach to predict energy consumption and optimize resource allocation, improving the sustainability of cloud services.
Speakers
avatar for Gentiana Canga

Gentiana Canga

Senior Manager, Reply SpA
Experienced Telco background with focus on strategic transformation programs
Thursday August 28, 2025 15:55 - 16:05 CEST
G104

16:15 CEST

RAG at Scale: Logging, Traceability, and the Architecture for Control - Alison Cossette, Neo4j
Thursday August 28, 2025 16:15 - 16:40 CEST
RAG pipelines are everywhere—but most are barely holding together. As GenAI moves from demos to production, the cracks are showing: silent failures, hallucinations, and a total lack of insight into what your AI is actually doing.
Speakers
avatar for Alison Cossette

Alison Cossette

Developer Relations, Neo4j
Alison Cossette is a Developer Advocate at Neo4j, specializing in Graph Data Science. She blends deep technical expertise with a passion for responsible AI, advocating for transparency and ethical practices in GenAI. A podcast host and educator, she bridges data science and real-world... Read More →
Thursday August 28, 2025 16:15 - 16:40 CEST
G104

16:50 CEST

Breaking RAG Systems: Exploiting Vulnerabilities & Hardening Your GenAI Applications - Abhinav Sharma, KodeKloud
Thursday August 28, 2025 16:50 - 17:15 CEST
Retrieval Augmented Generation (RAG) systems are quickly becoming the backbone of enterprise GenAI applications, but they introduce unique security risks that most teams overlook. In this hands-on session, I'll demonstrate real vulnerabilities I've discovered in production RAG systems and show you exactly how to fix them. We'll start by breaking things - I'll perform live attacks including:
Speakers
avatar for Abhinav Sharma

Abhinav Sharma

Site Reliability Engineer, KodeKloud
I am Site Reliability Engineer at KodeKloud . I am an Open source contributor, evaluating and contributed in various open source tools and projects, such as, Microsoft's Open source libraries, OpenCV, SUSE, etc. I was also a Google Summer of Code contributor 2022 and a GitHub Extern... Read More →
Thursday August 28, 2025 16:50 - 17:15 CEST
G104
 
Friday, August 29
 

11:10 CEST

Lightning Talk: K8s Issue #52757: Sharing GPUs Among Multiple Containers - Xiao Zhang, dynamia.ai
Friday August 29, 2025 11:10 - 11:20 CEST
This issue has plagued Kubernetes for nearly 8 years: K8s issue #52757. The challenge of flexibly sharing GPUs across multiple containers is particularly prominent in AI scenarios, where inference tasks are typically short-lived. As a result, resource utilization becomes a critical concern.
Speakers
avatar for Xiao Zhang

Xiao Zhang

Software Engineer & CEO, dynamia.ai
Xiao Zhang is the leader of the Container team (focus on infra, AI, Multi-Cluster, Cluster - LCM, OCI). He is also an active community contributor and cloud native enthusiast. He is currently a member of Kubernetes / Kubernetes-sigs, maintainer of Karmada, kubean, HAMi, and cloudtty... Read More →
Friday August 29, 2025 11:10 - 11:20 CEST
G104

11:25 CEST

Lightning Talk: Improve AI Inference (serving models) With KServe and VLLM - Maria Vittoria Passarello & Matteo Combi, Red Hat
Friday August 29, 2025 11:25 - 11:35 CEST
Red Hat integrates and supports both kServe and vLLM in its MLOps Platform, OpenShift AI. In addition, Red Hat's engineers actively contribute on kServe and vLLM upstream projects everyday.
Speakers
avatar for Maria Vittoria Passarello

Maria Vittoria Passarello

Solution Architect , Red Hat 
Graduated in statistics at university, then started a graduate program at Red Hat. Now a solution architect specializing in Red Hat's AI platform and open source AI technologies. 
avatar for Matteo Combi

Matteo Combi

Senior Specialist Solutions Architect, Application Platform, Red Hat
I'm a Senior Application Platform Specialist Solution Architect.
Friday August 29, 2025 11:25 - 11:35 CEST
G104

11:45 CEST

Lightning Talk: Running Intelligence at the Edge: Web AI in Action - Muskan Jain, Walmart Global Tech India
Friday August 29, 2025 11:45 - 11:55 CEST
AI is evolving beyond the cloud—and into the browser. This talk explores how recent advances in Web AI are making it possible to run powerful machine learning models for language, vision, and personalization directly on the client side. Leveraging technologies like WebGPU and WebAssembly, frameworks such as ONNX.js and WebLLM are enabling real-time, private, and serverless inference right where users are. We'll demonstrate how this shift improves latency, enhances user privacy, and removes infrastructure barriers—bringing scalable, intelligent experiences to the open web. This talk will promotes open-source, privacy-first AI that reduces cloud dependency, lowers entry barriers, and encourages ethical, accessible AI development across devices.
Speakers
avatar for Muskan Jain

Muskan Jain

Software Engineer III, Walmart Global Tech India
I'm an SDE-III at Walmart Global Tech India, currently pursuing an MTech in Artificial Intelligence. While I work on platform engineering full-time, I'm deeply interested in applied AI—especially in making intelligent systems more accessible, open-source, and sustainable.
Friday August 29, 2025 11:45 - 11:55 CEST
G104

12:00 CEST

Lightning Talk: Emotion Estimation for Social Robotics - Samer Attrah, HAN University
Friday August 29, 2025 12:00 - 12:10 CEST
In my session, I will discuss the topic of emotion estimation from facial expressions using AI and computer vision.
Speakers
avatar for Samer Attrah

Samer Attrah

Researcher and open-source contributor, HAN University of Applied Sciences
An engineer studied for a master's degree at HAN, and since my bachelor's degree, I have been working on Machine learning projects, and today doing research.
Friday August 29, 2025 12:00 - 12:10 CEST
G104

13:35 CEST

Technical Workshop: Testing GenAI Applications - Adrian Cole, Elastic
Friday August 29, 2025 13:35 - 14:35 CEST
Generative AI applications present unique challenges, from unpredictability in responses to ensuring reliability in production.
Speakers
avatar for Adrian Cole

Adrian Cole

Principal Software Engineer, Elastic
Adrian is a software engineer working at Elastic. He’s been a routine contributor to open source for over ten years. Lately, he spends most of his time on OpenTelemetry. His past notable project work includes wazero, Zipkin, OpenFeign, and Apache jclouds.
Friday August 29, 2025 13:35 - 14:35 CEST
G104

14:45 CEST

From Radar Echoes To Real-Time Recognition: Deep Learning on Another Planet -An Open Source Workflow - Viktor Somogyi, Netwerk / ELTE / ESA
Friday August 29, 2025 14:45 - 15:10 CEST
What happens when you combine real radar images of Venus, a bunch of volcanoes, and deep learning? In this talk, I’ll walk you through a fully open-source machine learning pipeline that turns extraterrestrial data into structured scientific insights. Our goal is to automatically recognize geological formations like craters, ridges, or volcanoes on radar imagery — a bit like Google Maps, but for another planet.
Speakers
avatar for Viktor Somogyi

Viktor Somogyi

Lead Developer | Machine Learning Specialist // External Researcher AI & Data Science Division, Netwerk / HUN-REN / ESA
Viktor Somogyi is a Machine Learning Specialist and Lead Developer at Netwerk Media, with over a decade of experience in AI-driven software projects. He currently works as an external researcher on a European Space Agency–funded planetary science project led by HUN-REN, using deep... Read More →
Friday August 29, 2025 14:45 - 15:10 CEST
G104

15:35 CEST

Technical Workshop: Sarcastically Speaking: Unlocking Multi-modal Sentiment Analysis With NLP and Facial Expressions - David vonThenen, DigitalOcean
Friday August 29, 2025 15:35 - 16:35 CEST
Sentiment analysis is easy—until sarcasm enters the chat. Traditional natural language processing models often stumble when trying to decode sarcastic nuances, missing crucial contextual cues and delivering misleading results. To tackle this, we will explore a multi-modal approach that integrates facial expression analysis with textual inputs, dramatically improving accuracy in sentiment detection, particularly for sarcasm. By combining transformer-based NLP models and facial landmark detection, we create a richer, context-aware understanding of sentiment.
Speakers
avatar for David vonThenen

David vonThenen

AI/ML Engineer, DigitalOcean
David is a Senior AI/ML Engineer who is dedicated to empowering developers to build, scale, and deploy AI/ML models in production. He brings deep expertise in building and training models for applications like NLP, data visualization, and real-time analytics. His mission is to help... Read More →
Friday August 29, 2025 15:35 - 16:35 CEST
G104

16:45 CEST

Unlocking Networking AI Innovation: Introducing Essedum - Ranny Haiby, The Linux Foundation
Friday August 29, 2025 16:45 - 17:10 CEST
In today's increasingly complex and dynamic network environments, traditional monitoring and management approaches often fall short. Artificial intelligence offers immense potential to revolutionize network operations, security, and optimization. This session will introduce Essedum, an open-source framework designed specifically to empower developers and network engineers to build intelligent AI applications for network analysis, automation, and prediction.
Speakers
avatar for Ranny Haiby

Ranny Haiby

CTO Networking, Edge and Access, The Linux Foundation
Ranny is in charge of driving technical innovation and creating opportunities for synergies among open source projects, and identifying emerging trends and projects.
Friday August 29, 2025 16:45 - 17:10 CEST
G104
 
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