Hello, I’m Alex
Customer perspective.
A builder’s curiosity.
I’m a four-time executive in Sales & Strategic Customer Success, an AI business implementation trainer, and an independent machine learning researcher.
A long-running fascination
Data was my favorite character on Star Trek as a kid. The idea of an artificial intelligence trying to understand the world stayed with me. AI has been an obsession of mine for years, well before it became an everyday conversation.
That interest now takes a practical form: building software, exploring how models work, and thinking about how a business can put AI to use. I want to understand the technology deeply enough to connect it to the people and decisions it affects.
Concept Engines is where I collect those ideas. My machine learning research is a personal pursuit, conducted independently.
Experience & practice
My experience sits across customer relationships, infrastructure, and the practical work of AI adoption.
Certified Anthropic Partner
My partner work concerns the design and implementation of AI systems for businesses. That experience informs the methodology I write about here.
Commercial experience
| Company | Year | Quota | Attainment |
|---|---|---|---|
| Lumen | 2025 | $1.24M | 118% |
| Lumen | 2024 | $1.2M | 106% |
| Lumen | 2023 | $1.1M | 113% |
| Zayo | 2020 | $868K | 138% |
Selected projects
3,600+ Git commits
Recent building, as of November 2026.
Explore my GitHub ↗
The internet, made visible.
I built an interactive globe to explore the infrastructure behind the internet: BGP routing activity, fiber, carrier hotels, and the networks connecting them. It brings the physical network and its live routing activity into one place.
Explore Atlas ↗Phones are wands. The TV is the battlefield.
A game I built with a shared TV screen and phones as controllers. Open the TV screen on a larger display, then the controller on an iPhone to play.
Open Spellbound ↗My first machine learning research paper.
An investigation of feature size, decoder geometry, and semantic specificity in sparse autoencoders. This work explores the relationship between a feature’s measurable scale, its neighbors, and its interpretation.
Outside the screen
Playing, making,
reading, wondering.