Self taught AI specialist. I build intelligent systems, run the projects that ship them, and can sell the result, all while the portfolio compounds in the background.
Age 20 / Self taught / ServiceNow certified
Self taught AI specialist. I build intelligent systems, run the projects that ship them, and can sell the result, all while the portfolio compounds in the background.
Age 20 / Self taught / ServiceNow certified
01 / Dossier
Twenty years old. Taught myself to program and to work with AI. No classroom, no bootcamp, just good enough that people pay for it. By day I run projects as a junior project manager; on my own time I've designed and shipped multiple websites for clients.
I also sell. Sales specialist by trade, which makes for a rare loop: I can scope the work, build the work, and close the work.
Build it. Ship it. Sell it.
02 / Stack
Java
Object discipline
JavaScript
The web's engine
Python
AI workhorse
C++
Close to the metal
HTML
Structure
CSS
Precision styling
Lua
Light & embedded
Next
Always learning
Plus the tools around them, AI systems included. All self taught.
03 / Track
No inherited playbook. Every line below was learned, certified, or shipped the hard way. The spine fills in as you scroll.
Foundation
Java, JavaScript, Python, HTML, CSS, Lua, C++. Learned independently, project by project, until the code paid for itself.
Specialisation
Self taught here too, and good at it. Applied AI: agents, automation, and putting models to work on real problems instead of demos.
Certification
Enterprise platform credentials to go with the self taught stack.
Delivery
Scope, schedule, stakeholders. Keeping real projects moving and landing.
Independent work
Multiple websites designed, built, and shipped for clients, a separate hustle from the project management day job.
Commercial
The closing side of the loop. Engineers who can sell are rare; that's the point.
04 / Numbers
0
Years old
0
Languages
0
Disciplines: build, run, sell
0
Self taught
05 / Markets
Idle cash loses by default. The portfolio runs three engines: steady ETFs at the base, high risk high reward stocks for asymmetric upside, and crypto for the frontier. The money keeps working while I do.
Compounding / simulated run
Click chart to rerun
ETFs
The base layer. Broad, boring, relentless. Compounding does the heavy lifting.
Engine 01 / Steady
High risk stocks
High risk, high reward. Sized so a win changes the curve and a loss does not end it.
Engine 02 / Asymmetric
Crypto
The frontier allocation. Volatile, 24/7, and going nowhere without me watching it.
Engine 03 / Frontier
Personal allocation. Not financial advice.
06 / Discipline
000%
Better than yesterday's Zayd. The only benchmark that matters.
07 / Contact
A project to ship, a system to automate, or a pitch worth hearing. The inbox is open.
Get in touch [email protected]