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Building embodied AI and agentic memory systems, with a research thread in digital well-being and privacy behavior
Dr. Eidan J. Rosado is a research scientist, adjunct professor of computer science, and author specializing in artificial intelligence and machine learning, with a focus on applied research and rapid prototyping, turning emerging ideas into working systems quickly. Her current research centers on memory architectures for embodied agents, including a device-agnostic experience memory framework that decouples learned knowledge from the hardware it runs on. A parallel research track examines digital well-being and how people navigate privacy in social computing environments. She holds a Ph.D. in Information Systems, master's degrees in Computer Science and Psychology, and a Bachelor of Science in Interdisciplinary Studies.
Her research is grounded in more than fifteen years of software and systems engineering experience spanning defense simulation and cloud computing. In the defense arena, she contributed to training simulators for the B-2 Spirit stealth bomber, the AH-64D Apache Longbow, the Guardian, and the UH-60 Black Hawk, and developed distributed early-warning sensor network capabilities for the Joint Warning and Reporting Network (JWARN). Her industry experience includes Northrop Grumman, Leidos, Salesforce, and Guild.
Alongside her research, Dr. Rosado teaches Mobile Development and Architecture, Software Testing and Automation, and Introduction to Responsible AI, and serves on doctoral dissertation committees, including at Nova Southeastern University. She is the creator of the Cloud Bytes Collection and the founder of Viratec Interactive, where she works to make complex technical concepts accessible to wider audiences. Outside the lab and the classroom, she finds joy in reading, writing, gardening, and exploring various forms of artistic expression. She sees the same creativity at work in a sketchbook as in a well-designed system.
Hedon is an open robotics initiative exploring affective, experience-aware machines. Its first platform, the UGV Beast, is a multimodal rover that senses through vision, audio, and optional biosignals, fuses those signals through a behavior engine, and acts on either a digital twin or live hardware. Experience logging feeds the device-agnostic memory research at the center of my current work, so what the rover learns is not locked to the rover.
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You've shipped something with Cursor, Claude Code, Replit, or another AI tool, and a small voice in the back of your head is whispering that you're not sure it's safe yet. You're not wrong. There is an entire discipline sitting between "it works on my machine" and "a stranger just trusted me with their data," and this book covers the parts that matter most when you're shipping software with the help of AI.
Inside: writing specs the AI can actually build against, setting up the AGENTS.md file that quietly doubles every coding session, keeping your secrets out of your repo and your cloud bills out of four digits, and writing the smallest tests that catch the biggest bugs. Each chapter closes with what to do Monday morning, a short war story of what happens when the lesson is ignored, and a prompt template you can paste straight into your AI tool.
Learn More"Creativity doesn't wait for that perfect moment. It fashions its own perfect moments out of ordinary ones."
OUR PAST IS A PART OF US
Interested in collaborating on research or discussing my work? I'm always open to connecting with fellow researchers, students, and industry professionals.