Niterói, Rio de Janeiro, Brazil
Experienced Developer Advocate at Elastic with over 20 years in software development, project management, and education. Currently pursuing a PhD in Computer Vision at Universidade Federal Fluminense, focusing on creating a perception system for visual navigation in autonomous robotic boats . Passionate about bridging academia and industry through talks, blogs, and events on vector search, IoT, and observability.
I connect developers and organizations to Elastic’s ecosystem by creating high-impact technical content and driving adoption across search, observability, and AI. My work spans blogs, videos, large-scale events, and global conferences — with a focus on making complex topics like LLMs, AI Agents and vector search accessible and practical. I also actively engage with the community through forums, meetups, and hands-on technical guidance. Core areas: Search Engines · Observability · AI · Large Language Models (LLMs) Articles: elastic.co/search-labs/author/alex-salgado Videos: https://www.youtube.com/watch?v=Ycr6GOQ1kdk Talks: https://www.instagram.com/alexsalgadoprof/
Building the future of autonomous maritime systems using Agentic AI and Physical AI. Creator of USV-3.0, a cognitive navigation framework that enables autonomous vessels to learn routes from a single demonstration — combining Vision-Language Models, Human-in-the-Loop learning, and Spatio-Temporal Memory. Creator of marine environment digital twin for USV: VisualSimBoat My work focuses on bridging AI and real-world navigation, reducing reliance on massive training data through more human-like learning paradigms. Publications • USV-3.0: Cognitive Maritime Navigation Through Vision-Language Models, Human-in-the-Loop Learning, and Spatial-Temporal Memory — Ocean Engineering (Elsevier), 2026 • VisualSimBoat: A High-Fidelity Visual Simulator for Autonomous Surface Vehicles — CROS 2025 • On the Use of Visual Perception for Unmanned Surface Vehicles Navigation — LARS 2024