I'm Daniel, a technical communications professional and technology enthusiast based in Jerusalem, Israel. My background in communications combined with my passion for AI and emerging technologies allows me to bridge the gap between complex technical concepts and clear, accessible information. I love exploring how technology can solve problems and make information more accessible to everyone.
My current research focuses on the development of enhanced RAG pipelines through proactive personal context generation. This innovative approach enables hyper-personalized AI inference with remarkable accuracy and relevance.
I'm fascinated by agentic AI, multi-agent networks, and workflow orchestration. Over the past 18 months, I've been experimenting with different configurations of AI assistants and agents for both personal and professional use cases. What started with simple system prompts has evolved into RAG pipelines and now more complex workflows with agentic capabilities.
My journey began with early exposure to technology through helping my grandfather navigate technical challenges, sparking a lifelong interest in making technology accessible. Early exploration of Ubuntu Linux led to a deeper understanding of technical systems and open-source technologies.
Developed expertise in technology writing and communications, specializing in translating complex concepts for diverse audiences. This foundation provided valuable skills in explaining technical concepts clearly and effectively.
Current focus on artificial intelligence and large language models (LLMs), particularly their potential to bridge technology and language. Actively developing solutions that leverage AI to make technology more accessible and useful.
I've made Jerusalem, Israel my home for the past decade, where I'm deeply integrated into the local tech ecosystem and innovation community.
For professional inquiries, please reach out via Contact Page or connect with me on LinkedIn.
