MongoDB User Group Lisbon (MUG) x GDG Lisbon @ Devoteam Creative Tech

## Join us for a special collaborative edition of MongoDB User Group Lisbon and GDG Lisbon, hosted at Devoteam Creative Tech!
This event brings together backend engineers, AI practitioners, cloud architects, and tech enthusiasts for an evening of cutting-edge talks, practical insights, and community networking.

🎤 Confirmed speakers:

• Jeff Andrade – Staff Engineer and Lead Software Developer at RPC – The Retail Performance Company.
  Presentation Topic: Deep Memory and Self-Correction: The Future of RAG with MongoDB, LangGraph, and Generative AI.
• Nuno Andrade – Senior Developer | Google / Azure / AWS Cloud Platform Expert at Workeffective.
  Presentation Topic: The AI-Powered Support Center: How Agents Are Redefining Incident Response with ADK and MongoDB.
• Nuno Durão – Applied AI Solution Architect at Amgen.
  Presentation Topic: GenAI in the Enterprise Context: Knowledge Architecture Before the Model.

🗓️ Event Details:

• Data: 19th March
• Time: 18h-22h
• 📍Location: Devoteam Creative Tech, Av. Dom João II 43 5, 1990-084 Lisboa

🍕 Food & Drinks is on Us!

VERY IMPORTANT: For security reasons, only registered people in the event will be allowed to enter.
💬 Take this opportunity to meet amazing professionals, exchange ideas, and learn more about MongoDB and Gemini in the evolving world of Generative AI.

*** 👉 Register now — it’s FREE ***
💼 LinkedIn:
MongoDB User Group Lisbon https://www.linkedin.com/company/mongodb-user-group-lisbon
GDG Lisbon
https://www.linkedin.com/company/gdglisbon/

Are you interested in being a speaker? Fill 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: Jeff Andrade - Staff Engineer and Lead Software Developer at RPC – The Retail Performance Company.
Language: English
Title: Deep Memory and Self-Correction: The Future of RAG with MongoDB, LangGraph and Generative AI
Abstract: The implementation of RAG (Retrieval-Augmented Generation) systems has become the standard for interactions with corporate data, but traditional architectures struggle with the processing of large files and suffer from response degradation due to the retrieval of irrelevant context. This presentation proposes a next-generation architecture that addresses these bottlenecks.
The solution integrates MongoDB GridFS as a Cold Storage layer to manage heavy binaries without BSON limitations, paired with MongoDB Atlas Local for low-latency vector search. Instead of a linear flow, the system uses LangGraph to orchestrate a Self-RAG workflow powered by the newly released Google Gemini 3 Flash model.
In this approach, the model acts with ultra-fast inference as a continuous evaluator: the graph analyses document relevance, discards noise, and autonomously rewrites the question if the context fails. The result is a highly scalable system, immune to hallucinations caused by weak context and fully auditable, allowing the download of original documents reconstructed in real time from GridFS.
About the author: A product-oriented full stack developer passionate about building practical, high-impact solutions with cutting-edge technologies. Currently focused on AI and autonomous agents, they design and develop agentic systems capable of reasoning, planning, and tool integration.
With deep expertise in end-to-end RAG pipelines, vector databases, and advanced retrieval strategies, they build scalable AI applications that bridge LLMs with real-world business workflows. Their experience spans agent orchestration with LangGraph, workflow automation using LangChain and n8n, and custom tool/API development for intelligent systems.
Technically versatile across frontend (React, Next.js, Vue), backend (Python, Node.js, Go), and cloud-native environments (Docker, Kubernetes, AWS, Azure, GCP), they bring a strong product mindset to AI engineering — combining experimentation, performance, and real-world usability.
LinkedIn: https://www.linkedin.com/in/andradejefferson/
Duration: 30 minutes
***
Speaker: Nuno Andrade - Senior Developer | Google / Azure / AWS Cloud Platform Expert at Workeffective.
Language: English
Title: The AI-Powered Support Center: How Agents are Redefining Incident Response with ADK and MongoDB
About the author: An experienced Backend Developer and Cloud Architect with over 10 years of expertise in designing, building, and migrating complex applications to cloud environments. Known for solving challenging problems and optimizing system performance, they have led architecture and development initiatives across high-volume systems, energy, gaming, computer vision, and AI projects.
A continuous learner and technology enthusiast, they are passionate about scalable architectures, cloud innovation, and building resilient, high-performing systems.
LinkedIn: https://www.linkedin.com/in/nuno-andrade-964b2416/
Duration: 30 minutes
***
Speaker: Nuno Durão - Applied AI Solution Architect at Amgen.
Language: English
Title: GenAI in the Enterprise Context: Knowledge Architecture Before the Model
About the author: A forward-thinking technology professional passionate about driving innovation at the intersection of people, process, and progress. With a background in team leadership, project management, and customer experience, they apply Artificial Intelligence — including LLMs, copilots, and agentic automation — to streamline operations and enhance decision-making.
As a trainer and educator, they specialize in making complex topics practical and accessible, from RPA and Python to real-world AI adoption. Committed to building learning communities, they help teams turn emerging technologies into impactful solutions.
LinkedIn: https://www.linkedin.com/in/nuno-durao/
Duration: 30 minutes