Software Modeling

*📍**Location*** London Bridge Hive, 8 Holyrood Street, SE1 2EL London - 2 minutes from London Bridge Station *📌**Description*** Agentic AI isn’t about replacing engineers — it’s about reshaping how work flows through the SDLC. We’ll explore new interaction patterns, boundaries, and responsibilities in AI-native delivery. 🔍 ***Key topics*** •Agentic AI • SDLC **⏲️ *Agenda*** 6:00 Pizza and drinks 6:30 Welcome 6:45 Talk 7:30 Q&A 7:45 Networking and Pizzas! 🍕 8:30 Wrap up & See you at the next Meetup! **🎙️*Speaker*** Giulio Roggero CTO @ Mia-Platform 25 years of experience in software engineering, serial entrepreneur with more than 10 business initiatives launched, today is co-founder and CTO at Mia-Platform, the Internal Developer Platform named by Gartner Cool Vendor for Software Engineering Technologies and in the Cloud Application Platforms Magic Quadrant. Principal focus: cloud native, platform engineering, data fabric and omnichannel experience. He likes to paint Blood Bowl miniatures, construct Lego, build and drive RC Cars and learn piano.

May Edition ✨✨! We will be at Kraken Tech (Octopus Energy Group), London office! (in-person only event, no streaming) **Talks:** **Django's GeneratedField by example — Paolo Melchiorre** Learn how to use Django 5.0's GeneratedField through practical examples. This field lets the database compute values automatically based on other fields in your model — a powerful feature that's easy to underuse. Paolo will walk through real-world use cases to show where it fits and how to make the most of it. Paolo Melchiorre is a Python backend developer, Django contributor, and Python Software Foundation Fellow. He serves on the Django Software Foundation board, co-organises PyCon Italia, and is a coach for Django Girls and a navigator for the Djangonaut Space mentorship programme. *** **Django in the Lab: how web development is reshaping behavioural research — Andy Woods** Off-the-shelf platforms can't always keep up with the complexity of academic research. Andy has been using Django since version 1.11 to build tools that can — from coordinating live location-based VR studies to running inclusive diary studies via WhatsApp and auditing immersive experiences for accessibility. He'll share where Django works especially well in academic settings, what surprised him along the way, and why this moment feels like a real opportunity for the Django community. Andy Woods is a Senior Research Engineer-Psychologist at CoSTAR & StoryFutures, Royal Holloway, University of London, and a Django Software Foundation Individual Member. **Want to share your Django or Python knowledge?** We’d love to feature your talk! Just fill out our [Speaker form ](https://tinyurl.com/django-london-speaker-form) to propose a talk! **Agenda:** • 6:15pm Doors open, socialising • 6:30pm Food and drinks offered by our sponsor • 7:00pm Doors close \*\* • 7:15pm Introduction, News, Talks • 8:30pm Socialising • 9:30pm Fin **Please make sure to arrive between 6:15 PM and 6:55 PM**. If you arrive earlier than 6:15 PM or later than 6:55 PM, you can take a seat in the seating area located in the downstairs reception. **Please note that we cannot accommodate arrivals after 7:15 PM.** Our meetups are governed by a [Code of Conduct](https://www.djangolondon.com/code-of-conduct/). Please take a few minutes to read it. This meetup is sponsored by: • [Kraken Tech (Octopus Energy Group)](Octopus%20Energy%20Group): "Kraken is a revolutionary energy tech platform built with predominantly Python & Django. We Serve 54 million households worldwide and have 38GW of contracted capacity." • [JetBrains](https://www.jetbrains.com/): "We make professional software development a more productive and enjoyable experience." Website: [https://djangolondon.com](https://djangolondon.com/) BlueSky: [@djangolondon.com](https://bsky.app/profile/djangolondon.com) Github: [github.com/djangolondon](https://github.com/djangolondon/) Open Collective: [opencollective.com/the-london-django-meetup-group](https://opencollective.com/the-london-django-meetup-group/)

Join us on May 7th from **6:00pm** for a Data Streaming meetup hosted by **[Fresha](https://www.fresha.com/)**! 📍**Venue:** **Fresha** The Tower, 207 Old Street London, EC1V 9NR 7th Floor **PLEASE bring your PHOTO ID and REGISTER with your First and Last Name, Email. Thanks!** **DOORS CLOSE AT 7PM FOR SECURITY.** 🗓 **Agenda:** * 6:00pm – 6:30pm: Food/Drinks and Networking * 6:30pm - 7:00pm: Anton Borisov, Principal Data Engineer, Fresha & Nicoleta Lazar, Sr. Data Engineer, Fresha * 7:00pm - 7:30pm: Olena Kutsenko, Staff Developer Advocate, Confluent * 7:30pm - 8:00pm: Tom Scott, Founder & CEO, Streambased * 8:00pm - 9:00pm: Q&A Networking 💡**Speaker One:** Anton Borisov, Principal Data Engineer, Fresha & Nicoleta Lazar, Sr. Data Engineer, Fresha **Title of Talk:** Apache Fluss: Streaming Storage for Real-Time Analytics **Abstract:** Apache Flink has largely solved streaming computation, but state management remains a bottleneck. Operator state—often backed by RocksDB—is scoped to individual jobs, making it hard to share state across pipelines without re-emitting it through systems like Apache Kafka. This leads to expensive joins and added operational complexity. Apache Fluss (incubating) addresses this by externalizing state into a streaming storage layer backed by S3. Its PrimaryKey tables act as upsertable key-value stores with replicated changelogs, enabling shared state tables accessible from Flink, Spark, or native clients. With Flink 2.1’s Delta Join, both sides of a join can perform lookups against Fluss-managed indexes—eliminating the need for large join state altogether. In this talk, we’ll introduce Fluss, show key use cases like CDC enrichment and bilateral joins, and share lessons from running it in production on EKS —including the trade-offs and rough edges we encountered. 💡**Speaker Two:** Olena Kutsenko, Staff Developer Advocate, Confluent **Title of Talk:** The journey of a record from Kafka topic to analytics table **Abstract:** Modern data platforms increasingly rely on streaming systems like Apache Kafka as the source of truth—but turning event streams into reliable, queryable analytics tables is far from trivial. This talk explores what really has to happen when moving data from a Kafka topic into an Apache Iceberg table. Beyond simple ingestion, we will walk through the essential steps: schema evolution, data normalization, partitioning, exactly-once guarantees, late-arriving events, and table maintenance. Using Confluent Tableflow as one concrete example, we will examine how these challenges can be addressed in practice. Along the way, we will compare alternative approaches—such as Kafka Connect sinks, stream processing pipelines, and custom ingestion frameworks—to highlight trade-offs in correctness, latency, and operational complexity. The goal is not to promote a single solution, but to provide a mental model for designing robust streaming-to-lakehouse pipelines, helping you understand what matters regardless of the tooling you choose. **Bio:** Olena is a Staff Developer Advocate at Confluent and a recognized expert in data streaming and analytics. With two decades of experience in software engineering, she has built mission-critical applications, led high-performing teams, and driven large-scale technology adoption at industry leaders like Nokia, HERE Technologies, AWS, and Aiven. A passionate advocate for real-time data processing and AI-driven applications, Olena empowers developers and organizations to use the power of streaming data. She is an AWS Community Builder, a dedicated mentor, and a volunteer instructor at a nonprofit tech school, helping to shape the next generation of engineers. As an international speaker and thought leader, Olena regularly presents at top global conferences, sharing deep technical insights and hands-on expertise. Whether through her talks, workshops, or content, she is committed to making complex technologies accessible and inspiring innovation in the developer community. 💡**Speaker Three:** Tom Scott, Founder & CEO, Streambased **Title of Talk:** *Infinite Kafka? Rethinking Retention with Iceberg* **Abstract:** Apache Kafka is designed for high-throughput, low-latency event streaming, not cost-efficient long-term storage. Yet we constantly see cases like event sourcing, audit/compliance, and large-scale reprocessing forcing that pattern onto it. As retention increases, costs grow linearly to support edge cases, one-time runs, and “checkbox” use cases. Can Iceberg help here? In this talk, Tom explores a hybrid architecture that separates hot and cold data while preserving Kafka’s log semantics. Using a combination of Kafka and Apache Iceberg, he demonstrates how to extend Kafka into low-cost object storage, enabling effectively unlimited retention without sacrificing performance or access patterns. The result is a unified log that supports both real-time processing and long-term replay, removing the traditional trade-off between cost and capability in Kafka-based systems. **Bio:** Long-time enthusiast of Kafka and all things data integration, Tom has more than 15 years of experience in innovative and efficient ways to store, query, and move data. Tom is currently CEO at Streambased, a company focused on unifying operational and analytical data estates into a single, consistent, and efficient data layer. \*\*\* If you are interested in hosting/speaking at a meetup, please email community@confluent.io

We're excited to invite you to ***our next Meetup***! Join fellow graph enthusiasts, Neo4j developers, and members of the AI community as we explore how graphs, knowledge graphs, and context engineering can unlock smarter applications and better answers. We look forward to connecting with the community to exchange ideas on graphs, tech, and AI - join the discussion! Session 1: **From Weak Assistants to Super Agents** Sefik Serengil, Senior Software Developer - Neo4j Session 2: **The Latest on Working with Agents** Baptiste Fernandez, DevRel - Tessl A synthesis of data, experiments, and developer feedback on how to build with agents and steer them in practice.

*❗️Event Announcement.* 🎟️ **Register via** [Luma](https://luma.com/5hfjgv9b) — we do not accept sign-ups through Meetup. 📅 **7th May** · Doors 6:00 PM, Start 6:30 PM **How Many SKILL. md Files Is a Profession?** *Discovering accounting's patterns from the corrections of human experts* **🎤***Nikolay Turusin, Data Science Lead · Anna Money* A profession decomposes into a finite library of procedural patterns — smaller than you'd expect. And you don't find them by interviewing experts. You find them by watching where experts correct the system. Nikolay is building a production UK Corporation Tax engine on GenAI. This is his field report: what the right unit of work looks like inside an LLM system, why this kind of automation suddenly becomes tractable, and what expert-bounded self-improvement means when you're shipping to real users. Candid talk. Open discussion. Bring questions.

Hello and welcome to our next **GenAI UK x Cloud Native & Open-Source AI** meetup. This event brings together engineers, practitioners, builders, and leaders working across cloud-native platforms, open-source ecosystems, Gen AI, Data and Agentic AI. Our meetups are friendly, welcoming, and community-driven; everyone is welcome, whether you’re experienced or just curious. This session will include practitioner talks, demos, Q&A, and time for networking with like-minded peers. We run bi-monthly in-person meetups in London, bi-monthly online global events, and regional chapters across the UK, North America, and APAC. Food and refreshments will be provided for in-person events where a host venue is supporting. We are delighted to host this event in **London** on the **7th of May** with Netmind AI NetMind XYZ ([https://xyz.netmind.ai/](https://xyz.netmind.ai/)) is NetMind.AI's new agent platform where you can create your agents with just natural language. Agents on NetMind XYZ can now join moltbook. **Speakers and Sessions:** Speaker: Henry, AI Agent Engineer at NetMind.AI Session Title: From Agentic Workflows to Bio-Image Insights: A Cell Migration Case Study Description: As AI infrastructure becomes commoditized, the next wave of value will be captured at the application layer, where automation, domain knowledge, and user-centered design turn AI capability into measurable outcomes. Speaker: Richárd Kovács, CTO at Harikube Session Title: From Orchestration to Platform: The Missing Puzzles to Unify Polyglot Services on Kubernetes. Description: Imagine a world where Kubernetes itself becomes the unified platform—not just for container orchestration, but for serverless functions, microservices, and the entire API ecosystem. This presentation explores the missing architectural pieces required to make that world a reality. We focus on the architectural puzzles required to unify these layers: serverless functions, specialized Kubernetes Operators, and the powerful Aggregation API layer. By solving these integration puzzles, you can empower development teams to build real Cloud-Native nanoservices, microservices, and REST APIs on the same PaaS, in any language they choose, turning Kubernetes from a simple orchestrator into a powerful, opinionated application platform. **Agenda (GMT /UK ):** * 18:00: Welcome and refreshments * 18:30: Introduction - Ethan Sumner * 18:35: Richárd Kovács * 19:10: Break * 19:20: Frank Contrepois * 19:55: Close and Networking **Get Involved:** We are always keen to hear from: • Speakers — case studies, engineering deep dives, lessons learned, open-source talks • Hosts — organisations able to provide space for future meetups • Sponsors — support with refreshments, marketing, or accessibility If you would like to speak, sponsor, or host a future event, please get in touch with **[Ethan Sumner](https://www.linkedin.com/in/ethansumner404/)**[ ](https://www.linkedin.com/in/ethansumner404/)via LinkedIn. You can find our YouTube Channel **[here.](https://www.youtube.com/@CommunityStackHQ)** This community forms part of the **[Community Stack ecosystem](https://www.meetup.com/pro/generative-ai-uk-community/)**[ ](https://www.meetup.com/pro/generative-ai-uk-community/)and follows the Community Stack Code of Conduct to ensure a respectful, inclusive, and welcoming environment for all attendees.

**Pre-Registration is REQUIRED. RSVP here - [https://luma.com/ppyy0sqw](https://luma.com/ppyy0sqw)** ## 🚀 From OpenClaw to Cowork: The Rise of Agentic AI in 2026 **Agentic AI is moving beyond chat and into execution.** Join us for an evening of deep-dive insights as we explore the shift from simple LLM interactions to autonomous, AI-native workflows. Whether you’re a developer, product manager, or business leader, this session will help you navigate the practical future of AI agents. ## The Speaker **Sheamus McGovern,** *Founder of ODSC AI \| Venture Partner at Cortical Ventures \| Author of "The AI Skill Flip"* ## The Topic: The Rise of Agentic AI In this talk, Sheamus explores how tools like **OpenClaw**, **Claude Cowork**, and the emerging **Model Context Protocol (MCP)** are starting to automate real workflows. We’ll move past the hype to look at how agents are working across tools and systems to solve actual production challenges in 2026. ## Our Partners A huge thank you to our partner **[Snowflake](https://www.snowflake.com/en/)** for supporting the London AI community and providing the incredible venue for this event. ## Details * **Date:** 7th May, 2026 * **Time:** 18:00 – 20:00 BST (London Time) * **Perks:** Pizza and soda will be provided 🍕🥤 * **Venue:** Snowflake HQ, 3 Crown Place, London EC2A 4EF, UK ## Agenda * **18:00 - 18:30:** Networking, Pizza, & Drinks * **18:30 - 19:15:** Talk: From OpenClaw to Cowork (Sheamus McGovern) * **19:15 - 19:30:** Interactive Q&A * **19:30 - 20:00:** Closing & Community Networking Come ready to learn, connect with London's AI community, and see what the next phase of automation looks like in practice! **Some useful links:** • Get free access to more talks/trainings like this at Ai+ Training platform: [https://aiplus.training/](https://aiplus.training/) [•](https://hubs.li/H0Zycsf0%EF%BF%BC%E2%80%A2?utm_source=luma) ODSC blog: [https://opendatascience.com/](https://opendatascience.com/) [•](https://opendatascience.com/%EF%BF%BC%E2%80%A2?utm_source=luma) Slack Channel: [https://hubs.li/Q038cQBy0](https://hubs.li/Q038cQBy0) [•](https://hubs.li/Q02ZkDV90%EF%BF%BC%E2%80%A2?utm_source=luma) Code of conduct: [https://odsc.ai/code-of-conduct/](https://odsc.ai/code-of-conduct/)

Get ready for an another awesome night at the London Tech Social! It’s the perfect spot to chill with designers and engineers and make new friends. Whether you’re a tech wizard or just curious, you’ll fit right in. This is your chance to meet cool people and maybe even kick off some exciting projects together🚀 Mark your calendar for a night filled with fun and new connections📅 We look forward to seeing you there!

**Important:** Register on the [event website](https://www.aicamp.ai/event/eventdetails/W2026050710) is required for admission. **RSVP on meetup is turned off** Welcome to the AI meetup in London, in collaboration with Google. Join us for deep dive tech talks on AI, GenAI, LLMs and Agents, hands-on experiences on code labs, workshops, and networking with speakers and fellow developers. **Agenda:** \* 6:00pm\~6:30pm: Checkin and Networking \* 6:30pm\~6:45pm: Welcome/community update \* 6:45pm\~8:30pm: Tech talks and Q&A \* 8:30pm\~9:30pm: Open discussion & Mixer **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](https://forms.gle/JkMt91CZRtoJBSFUA) **Sponsors:** We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, 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 London and 500K+ worldwide.

## From Zero to AI App: A Hands-On Meetup for Data Professionals Curious about AI but tired of the hype? This beginner-friendly, practical meetup is designed to help you **actually understand and use AI in data roles**—not just talk about it. We’ll break down the core ideas behind modern AI systems in a simple, no-jargon way—then bring everything together by **building a real AI app live**. Whether you're a student, aspiring analyst, or working professional, you’ll leave with **clarity, confidence, and practical skills you can apply immediately.** *** ## 💡 What You’ll Learn In this session, we’ll go from fundamentals to real application: * What *Agentic AI* really means (and why it matters) * A simple breakdown of *LLM architecture* * What vectors are and why they power modern AI systems * What *RAG (Retrieval-Augmented Generation)* is and how it works in practice * How all these pieces connect in real-world data workflows And most importantly… 👉 **We’ll build a working AI app live—so you can see exactly how it all comes together.** *** ## 🎤 Talks ### 1️⃣ From Concepts to Creation: Understanding & Building with AI A practical walkthrough of key AI concepts—followed by a **live app build** where we turn theory into something real. ### 2️⃣ CV Blueprint * **The Perfect CV Blueprint:** Stop making the top 5 mistakes that lead to automatic rejection. Learn how to transform your experience into **quantifiable achievements** that hiring managers love. *** ## 👥 Meet Your Speakers **[Nitish Galat](https://www.linkedin.com/in/nitish-galat/) – BI Analyst & Gen AI Specialist** Nitish works at the intersection of data automation and generative AI, with a focus on simplifying complex systems and making AI accessible to everyone. **[Abhishek Gadve](https://www.linkedin.com/in/abhishek-gadve-8010a2119/) – Senior Product Analyst** Abhishek specializes in turning data into business impact, helping teams make faster, smarter decisions using analytics and AI. *** ## 🎯 Why You Should Attend This isn’t another theory-heavy AI session. You’ll walk away with: * A clear understanding of how modern AI actually works * Practical knowledge you can use in data roles right away * Exposure to real tools and workflows used today * The confidence to start building with AI yourself *** ## 🎟️ Free Event – Limited Spots We’re keeping this meetup **small and interactive** to encourage discussion, questions, and hands-on learning. If you're serious about understanding how AI fits into data and analytics, this session will give you a real edge. 👉 **Reserve your spot now**

**Complimentary Event Passes** We’re offering a limited number of complimentary passes specifically for our MongoDB User Group members! To snag yours, please send a direct message to the MongoDB User Group account on Meetup or leave a comment at *Start the conversation* below. **About The Event** At MongoDB.local London, discover how the UK’s leading innovators are ditching fragmented AI stacks for a unified data platform that accelerates production and takes AI from demo to production—quickly. Whether you're growing a startup or scaling and modernising enterprise applications, join us—alongside founders and leaders defining the future of London’s tech landscape—to learn how MongoDB helps you ship your AI vision faster. [View agenda here](https://www.mongodb.com/events/mongodb-local/london)

Join us for a practical, beginner-friendly guide to choosing the right large language model. We’ll compare major models like ChatGPT, Claude, Gemini, and Llama, talk about when to use hosted APIs versus local models, and break down the tradeoffs around cost, speed, quality, privacy, context windows, coding ability, and reliability. You’ll leave with a clearer mental model for picking an LLM based on your actual use case instead of hype, benchmarks, or brand names. No deep AI background required. LOGISTICS AND PARKING: The talk starts at 7:00 PM. The first half hour is reserved for everyone to get set up and mingle. Free pizza and drinks! The cheapest parking option is to find street parking, which will only cost you a few bucks. Otherwise, park in the nearby veteran's museum lot for $8. It's highly recommended you avoid the nearby $15 garage parking.

Columbus Code & Coffee is an inclusive, informal co-working session. People of all skill levels attend, and we love it that way. Many people (optionally) bring projects to work on, and many other people (optionally) socialize the entire time. It's entirely up to you! **What to Expect at the Intro Circle** \~\~\~\~\~\~\~\~\~\~\~\~\~ Near the beginning of the event (1:30 pm), we do a standup: * Organizer announcements, updates, and logistics Round 1 - (7 secs max): * Your name * What you're working on * What you can help others with Round 2: * Community events you wanna plug. If none, that's cool too. Round 3: * Job opportunities you're hiring for OR announce that you are looking for one. If none, that's cool. After the introduction circle, everything is self-organized! Feel free to work alone, pair up, attend one of our workshops/presentations, or mingle!

Practical AI for Power BI Developers A year ago, “agentic AI” was mostly hype for Power BI teams. Today, it deserves your undivided attention. For Power BI pros, there is now a real opportunity to reduce repetitive development work, accelerate delivery, and help developers do more, but only when strong DataOps practices are in place to make AI workflows effective. This session is a no-nonsense introduction to effective AI patterns for Power BI and Fabric development. Along the way, we will make sense of the growing pile of terminology, including skills, plugins, hooks, and MCP. You will see examples of how modern AI tooling can help with development tasks across Power BI and Fabric, along with the prerequisites, guardrails, and DataOps principles needed to use it responsibly. Whether you're burned out on AI hype or already using Copilot CLI daily, this session will show you the foundations that are finally making AI-assisted development genuinely useful.

**Improving Office in Franklinton** Physical location: Improving Office 330 Rush Alley Suite #150 Columbus, OH 43215 Schedule: 6:00 p.m.: Socialize, eat, and drink. Improving will be providing pizza and beverages. 6:30 to 8:00 pm. Main meeting and presentation(s). Topic: This month John Lairson will share a notebook describing the Alpaca (Paper) Trading API and discuss different algorithms for evaluating stock trades. We meet on the last Monday of each Month. Presentations are given by members and friends of this group. If you would like to do a presentation (small or large) on a python topic, please contact Central OH Python at centralohpython@gmail.com

**TBA**

Come out to Improving for our monthly iOS and Mac meetings. This Month's Presentation: Nothing yet. (You should volunteer). What is Cocoaheads (http://cocoaheads.org/)? CocoaHeads is a group devoted to discussion of Apple Computer's Cocoa Framework for programming on MacOS X and iOS (including the iPhone, iPad and Apple Watch). During monthly meetings, members present on their projects and offer tutorials on various programming topics. What is BuckeyeCocoa (http://buckeyecocoa.org/)? BuckeyeCocoa is a group of Objective-C/Swift developers/enthusiasts. We host monthly Cocoaheads and near-weekly NSCoder meetings in Columbus, Ohio. The meetings are free to attend. Presentations! Presenters welcome! We are always in need of people willing to present material. Any Swift and/or Objective-C related topic is welcome. Times can be 5 minutes (i.e. lightning talks) to a maximum of 2 hours. Interested? Contact info is on the BuckeyeCocoa website. To volunteer for a presentation contact us at @BuckeyeCocoa on Twitter. Follow us on Twitter! @BuckeyeCocoa (https://twitter.com/#!/Buckeyecocoa/) For more information: http://buckeyecocoa.org/

We will show how to build custom agents with Microsoft Agent Framework. Attendees will learn how to build and custom host agents when Microsoft Foundry is not a viable option.