Principal Engineer @ Digi International | Edge AI & IoT Strategist
Building intelligent systems at the edge

I specialize in embedded systems, Edge AI, and intelligent IoT infrastructure.
My work focuses on bridging low-level hardware with scalable, production-ready AI platforms, bringing intelligence closer to where data is generated and acted upon.

• Leading Edge AI initiatives at Digi International, architecting edge-to-cloud IoT systems that process data at the source for faster, more reliable decision-making
• Building TinyMLDelta — an incremental model update system for TinyML and resource-constrained edge devices
  https://github.com/felixgalindo/TinyMLDelta
• Building toyvision-ai — an open-source project introducing AI concepts through hands-on, playful experiments
  https://github.com/felixgalindo/toyvision-ai
• Architecting a modern C library for XBee to improve developer experience and extensibility for Digi’s wireless IoT platforms
  https://github.com/felixgalindo/xbee_c_library

• Edge Intelligence: Enabling IoT at the Source — The AI Innovator (2025)
  https://theaiinnovator.com/edge-intelligence-enabling-iot-at-the-source/

• Rethinking IoT Innovation: From Industrial Legacy Systems to Next-Gen Wi-Fi — Embedded Computing (2026)
  Editorial coverage based on the Embedded Insiders podcast discussing Industrial IoT modernization and next-generation wireless architectures.
  https://embeddedcomputing.com/technology/iot/wireless-sensor-networks/rethinking-iot-innovation-from-industrial-legacy-systems-to-next-gen-wi-fi

• Featured Guest — Embedded Insiders Podcast (January 2026)
  Discussion on the industrial upgrade crisis, legacy connectivity challenges in Industrial IoT, and the evolution toward modern edge-to-cloud platforms.
  https://www.youtube.com/watch?v=ambwtKT63s0

• Expert Panelist — Embedded World North America 2025
  Panel on practical edge AI deployment, production readiness, and edge-to-cloud architectures.
  YouTube: https://youtu.be/41o0cOKYkuM
  Digi Resource Page: https://www.digi.com/resources/videos/ai-at-the-edge-ewna-2025

• Featured in Digi International press announcement
  New open IoT Application Framework accelerates development by addressing the complexity of connected product deployment at scale from edge to cloud
  https://www.digi.com/company/press-releases/2025/digi-showcases-complete-edge-to-cloud-solution

• Selected Medium Articles
  Why Edge AI Fails — And Why the Missing Infrastructure Layer Matters More Than the Models
  https://medium.com/@felixgalindo91/why-edge-ai-fails-and-why-the-missing-infrastructure-layer-matters-more-than-the-models-a05f291a5834

  Introducing TinyMLDelta — Incremental ML Model Updates for Tiny Devices
  https://medium.com/@felixgalindo91/introducing-tinymldelta-incremental-ml-model-updates-for-tiny-devices-96663edd1991

  Vision-Language-Action Models and What They Unlock for Edge AI
  https://medium.com/@felixgalindo91/vision-language-action-models-and-what-they-unlock-for-edge-ai-65ead9f980a6

• Press
  TinyMLDelta featured on Hackster.io
  https://www.hackster.io/news/tinymldelta-brings-safe-lightweight-updates-to-edge-ai-6ec411f93f44

• Edge AI and TinyML on constrained IoT devices
• Distributed intelligence for connected embedded systems
• Edge-to-cloud IoT platforms and production readiness
• Industrial IoT, smart infrastructure, and physical AI systems

Email: [email protected]
LinkedIn: https://www.linkedin.com/in/felix-galindo/
Medium: https://medium.com/@felixgalindo91
GitHub: https://github.com/felixgalindo
Website / CV: https://felixgalindo.io/