Years of practical
IT support experience
AI student · IT problem solver · systems thinker
I like turning
messy
problems into
clear systems.
I’m Behrad. I study Artificial Intelligence, build practical digital tools, and care about making complicated things genuinely easier to use.
01 / About
The short version
Curious by default.
Practical by choice.
I’m an Artificial Intelligence major at Macquarie University with a practical experience in IT support.
Before university, I spent two years helping students and staff solve real technology problems, from hardware and software troubleshooting to digital classrooms and daily support. That experience shaped how I approach tech now: start with the person, understand the real problem, then make the solution clear.
I’m bilingual in English and Persian, comfortable across macOS, Windows, and Linux, and happiest when I’m learning something complex enough to pull apart and rebuild.
Operating systems:
macOS, Windows, Linux
Languages spoken:
English + Persian
Expected graduation
from Macquarie
02 / Selected work
Things I’ve worked through
Selected systems.
A mix of AI, networking, data, and tools designed to solve actual problems.
01
Network architecture
Healthcare network across eight sites
Designed a network spanning eight sites with VLANs, subnetting, routing, a data centre, and end to end validation.
02
Applied AI concept
AI Home Energy Companion
Developed an evaluation framework for an AI product designed to improve household energy decisions.
03
AI search & reasoning
Intelligent puzzle solver
Compared search strategies such as IDS, A*, and beam search through implementation and evaluation.
03 / Mindset
How I work
I don’t just want
the answer. I want the
mental model.
My best work happens when I can see the whole system, break it into manageable parts, test my understanding, and then explain it simply.
- 01Map the system
Find the parts, constraints, and connections.
- 02Make it concrete
Turn theory into a diagram, prototype, or working example.
- 03Stress test it
Use questions, edge cases, and iteration to find weak points.
- 04Make it clear
If the explanation is confusing, the thinking probably is too.
04 / Beyond the screen
“
Systems are everywhere, even in the things I do for fun.
Worldbuilding
Characters, rules, choices, and stories that feel alive.
Games
Buildcraft, strategy, and understanding what makes a system tick.
Learning
Turning unfamiliar topics into something I can use and explain.
05 / Contact
Currently in Sydney · Studying AI · Building what’s next
Have a problem worth
thinking about?
Let’s talk