Self-taught AI specialist. I build intelligent systems, run the projects that ship them, and can sell the result — 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 — 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 — and got 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 — so the money keeps working while I do.
Compounding — simulated run
Click chart to re-run
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 doesn't 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