MongoDB User Group Lisbon × Java User Group Lisbon at Critical Software
Details
# REGISTER OVER IN LUMA: https://luma.com/izlrutmt
# Follow our new Calendar in Luma: https://luma.com/mug-lisbon
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## Join us for a special joint edition of MongoDB User Group Lisbon × Java User Group Lisbon, hosted at Critical Software!
This evening brings together MongoDB and Java developers, backend engineers, architects, AI practitioners and tech enthusiasts for talks, practical insights and community networking.
🎤 Speakers:
João Galego – Head of AI at Critical Software.
Presentation Topic: Java vs. The Agent Engine
Bruno Inácio – Head of IT at Marinha Portuguesa, and Eduardo Henriques – Senior Consultant at Milestone.
Presentation Topic: Before the AI Hype: Building a Wildfire Early-Warning System with IoT, Big Data and Stubbornness
🗓️ Event Details:
Date: Wednesday, 4th November 2026
Time: 18:00 – 22:00
📍 Location: Critical Software, R. Dr. Eduardo Neves 9, 1050-077 Lisboa
🍕 Food & Drinks Provided
💬 Take this opportunity to meet both communities, exchange ideas, and learn how MongoDB and Java work together in real-world systems.
*** 👉 Register now — it's FREE ***
💼 MUG Lisbon on LinkedIn: https://www.linkedin.com/company/mongodb-user-group-lisbon
💼 JUG Lisbon:
https://www.meetup.com/lisbon-jug/
Are you interested in being a speaker? Fill in the form and we will reach out: https://forms.gle/ANpvY9Stp79qonfj7
Let's build. Let's share. Let's grow — together. 💥
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Speaker: João Galego – Head of AI at Critical Software
Language: English
LinkedIn: https://www.linkedin.com/in/jgalego/
Title: Java vs. The Agent Engine
Abstract: What happens when Java decides it wants into the MongoDB Atlas Agent Engine?
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Speaker: Bruno Inacio, Head of IT @Marinha Portuguesa & Eduardo Henriques, Senior Consultant @ Milestone
Language: English
LinkedIn: https://www.linkedin.com/in/inaciobruno/ & https://www.linkedin.com/in/eduardoh3nriqu3s/
Title: Before the AI Hype: Building a Wildfire Early-Warning System with IoT, Big Data and Stubbornness
Abstract: In 2017, a small team set out to tackle a problem that kept making headlines: wildfires that spread faster than anyone could react. The result was SmartForest, a solution combining IoT sensors, Big Data processing, Java and MongoDB, which went on to win several national innovation awards and came within reach of becoming a real startup.
This talk is not about the latest model or the newest buzzword. It is about how an idea goes from “this should be possible” to a working system, and what happens in between: the architecture decisions we got right, the ones we got wrong, the moment the prizes started arriving, and why the company never quite took off.
You will leave with a realistic picture of how a technical project becomes a venture, what judges and investors actually look for, and why good engineering is necessary but never sufficient. No hype, no magic, just sensors, data, deadlines and honest lessons you can apply to your own projects.
In this talk, we’ll take you behind the scenes of bringing Java unofficially to an AI agent platform, and what happens when you try to make an emerging platform work with a language it wasn’t originally built around. It’s part engineering story, part AI experiment, and part exploration of what happens when you start throwing real-life but increasingly weird data at an agent.