I am an Electronics and Digital Solutions Engineer, Systems Integrator and Consultant, currently working as a Sr Embedded and Edge AI Engineer at a green energy company. With over 30 years of experience, I specialize in developing commercial and industrial IoT and embedded systems, focusing on Edge AI and machine vision integration. My work involves designing end-to-end hardware-software solutions, implementing TinyML and LLM models for edge inference, and managing MLOps. I hold a BS degree in Electrical and Electronics Engineering. I am open to product reviews, technical architecture discussions, knowledge sharing, and introductions to design partners and talent.

Edge AI, machine vision, TinyML, LLM deployment for edge inference, MLOps, IoT architecture, embedded systems, hardware-software co-design, green energy storage solutions, product engineering, technical architecture, design partners.

Developing IoT and embedded systems for energy storage devices, focusing on Edge AI and machine vision integration. Key tasks include designing end-to-end hardware-software architectures, implementing TinyML and LLM models for edge inference, and managing MLOps for on-premises and cloud ML/LLM deployment. Utilizing C/C++ for low-latency firmware, as well as high-level multi-platform GUI applications, leveraging IoT patents to optimize product engineering and AI-driven business intelligence.