I'm Moaaz Ahmad — a Mechatronics & Automation Engineer living at the intersection of hardware and intelligence. My background spans precision electromechanical systems all the way up to multi-agent AI architectures.
Currently, I work as a Systems-TAC Engineer at Nayatel, where I diagnose and resolve complex network infrastructure issues daily. Simultaneously, I'm deepening my formal AI foundation at FAST-NUCES.
I believe the most meaningful engineering happens when disciplines collide — when a firmware developer understands language models, and when an AI researcher can solder a board and read a datasheet.
Teaching is also part of my identity. My Udemy courses distil hard-won technical knowledge into accessible form. On Fiverr, I deliver custom embedded and automation projects for clients globally.
Completed undergraduate degree in Mechatronics & Automation Engineering — fundamentals in electromechanics, control theory, and embedded systems.
Built initial embedded systems projects — custom PCBs, robotic arm prototypes, PLC-based automation sequences. The hands got dirty, the skills got sharp.
Took on a technical role at one of Pakistan's leading ISPs. Diagnosing network infrastructure, resolving critical uptime incidents, and navigating complex system interdependencies.
Started creating technical courses on Udemy, distilling embedded systems and automation knowledge for an international audience of engineers and students.
Enrolled in AI & Data Science program at FAST-NUCES — formalising knowledge in machine learning, deep learning, and intelligent systems design.
Established a freelance practice on Fiverr delivering custom embedded systems, SCADA solutions, and AI prototypes for clients across the globe.
Software can be patched at runtime. Hardware constrains absolutely. I design with that reality — where voltage rails, timing margins, and thermal dissipation are non-negotiable.
A microcontroller is not a product. A sensor module is not a solution. I think at the system level — how components interact, fail, and recover under real-world conditions.
The clearest test of understanding is whether you can explain it to someone starting from zero. Teaching on Udemy has made me a better engineer because it demands precision.
When I'm not building systems, I'm exploring them — through gaming. Open-world games like Red Dead Redemption 2 scratch the same itch as engineering: vast systems with emergent behaviour, where curiosity and exploration are rewarded.
The YouTube channel MAK Plays It Real is where that side of me lives. Gaming as a lens on design, narrative, and world-building.