I am a technologist—I develop technology and believe that technology is the primary way humanity can grow. By developing technology to solve problems and improve people's lives, we advance as a species. I am deeply passionate about education, which is why EMWaver is so important to me: it is an educational platform precisely for technology, covering software, firmware, and hardware—all the essential targets for understanding how machines work.
I believe the future will be filled with machines, and I also believe in artificial intelligence. As we move toward AGI and witness an explosion of technology, it becomes increasingly critical to understand technology at all levels—from high-level software abstractions down to the lowest-level electronics. This comprehensive understanding is essential for navigating and shaping the future where intelligent machines will be everywhere.
I am deeply passionate about artificial intelligence, with a particular focus on deep learning, machine learning, and machine intelligence. My core interest lies in understanding how we can replicate human intelligence in machines—not just mimicking behavior, but achieving true cognitive capabilities.
Continuous addresses one of the most fundamental limitations in modern AI systems: the inability to learn continuously during inference.
Current AI models, despite their impressive capabilities, lack the ability to learn new tasks or adapt to new information after their initial training phase. Once deployed, these models remain static—they cannot incorporate new knowledge or improve from experience. This is a critical gap that prevents AI systems from truly replicating human-like learning capabilities.
Continuous aims to solve this problem by developing models that can learn and adapt in real-time, continuously improving their performance and expanding their knowledge base during inference. This represents a paradigm shift from static, pre-trained models to dynamic, continuously evolving intelligent systems. Achieving Artificial General Intelligence (AGI) is another fundamental goal of Continuous, pushing toward machines that can understand, learn, and reason at a human level.
As part of my work on Continuous, I am developing a technology I call KVGPT, an architecture that aims to solve the problem of infinite efficient context in large language models. KVGPT enables LLMs to operate indefinitely without running out of context or degrading performance, addressing one of the most significant limitations in current language model architectures.
This is a closed source project I am actively developing, representing a core component of the Continuous vision for truly adaptive and scalable AI systems.
EMWaver (Electromagnetic Waver) is a next-generation hardware and software development platform that serves as both an educational platform and a powerful development tool. It positions itself as a successor to Arduino by fundamentally changing how we approach microcontroller development.
The core innovation of EMWaver is its intimate integration with everyday powerful devices—computers and smartphones. Rather than requiring separate development environments and physical connections, EMWaver enables wireless, seamless interaction between your development tools and microcontroller hardware.
Platform Support:
EMWaver includes both computer and smartphone applications, allowing developers to write firmware, integrate hardware, and work with microcontrollers at lightning speed. The wireless nature of the platform eliminates the need for constant physical connections, making development faster and more flexible.
One of the most powerful applications of EMWaver is in signal hacking and security research. By connecting microcontroller devices directly to smartphones, EMWaver enables the development of sophisticated signal hacking devices and security tools. The platform's wireless capabilities, combined with its support for powerful microcontroller families like ESP32 S3, make it an ideal foundation for building advanced hardware security applications.
As an educational platform, EMWaver is particularly important because it hits all the essential targets: software, firmware, and hardware. It provides a comprehensive way to understand how machines work at every level, preparing learners for a future where understanding technology across all layers will be crucial.