I started in the technology industry in 1979 at Signetics Corp when microprocessors were still new. I moved from laser scribing to board-level system repair and hands-on microprocessor work across 8080, 286, 386, 486, Pentium, and Pentium II systems.
I worked through DOS 3.3 to Windows NT, 2000, and XP, later serving as a Network Administrator and earning Microsoft MCSE and Cisco CCNP certifications during the early enterprise networking era.
After stepping away to build a successful second career in carpentry, I never stopped building systems as a hobbyist.
Today, with AI reshaping the industry, I am fully immersed again — studying, building, and engineering AI systems, intelligent agents, and modern machine learning workflows.
It feels like the early days of the 80s computer revolution.
I intend to be part of this one too.
"I have been talking to computers for decades, in 2025 they started talking back"
- AI Systems Engineering
- LLMs & Agent Architectures
- Retrieval-Augmented Generation (RAG)
- Local AI Toolchains
- Practical Machine Learning Foundations
AI is not just a tool — it is a partner.
Builders build.
Learners learn.
Revolutions reward those who show up early.
- Understanding Transformers: A Deep Dive Into Modern AI Architecture
A comprehensive exploration of attention mechanisms, geometric meaning, emergent intelligence, and the architectural limits of transformer models.
https://github.com/dlukeh/transformer-deep-dive